410 Ofertas de Data Engineer en España

**AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.**
**We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.**
**If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .**
**For more information about our privacy policy and how to manage cookies, visit our** **Privacy Policy ( **.**
**Job Title:** Data Engineer
**Location:** Madrid
**Employment Type:** Permanent, full time (Hybrid role)
**The job**
We are looking for an experienced Data Engineer to join our Data Science & AI team at AVEVA. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, machine learning, and AI agent development.
You will work closely with data scientists, AI engineers, and business stakeholders to ensure data is reliable, accessible, and optimized for both analytics and operational use cases.
**Key Responsibilities**
+ Design, develop, andmaintainrobust, scalable data pipelines
+ Build and manage data architectures and data models
+ Ensure data quality, governance, and security standards
+ Collaborate with Data Scientists and AI Engineers
+ Optimizedata processing for performance and cost-efficiency
+ Integrate multiple data sources
+ Develop workflows using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory)
+ Design end-to-end solutions within Microsoft ecosystem
+ Implement best practices for data engineering and version control
+ Support AI agents and automation workflows

**Essential Requirements**
+ 5+ years of experience in Data Engineering
+ Strong Python and SQL skills
+ Experience with Spark/Databricks
+ Experience in ETL/ELT pipelines
+ Strong Azure experience
+ Databricks Unity Catalog experience (governance, access control)
+ Experience with Power Automate or similar tools
+ Strong data modeling and warehousing knowledge
+ Git and CI/CD experience
**Desirable:**
+ Master's or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field.
+ Experience with Lakehouse architecture
+ MLOpsfamiliarity
+ Strong Unity Catalog governance practices
+ Knowledge of data governance frameworks
+ Experience with streaming technologies
+ Exposure to AI/GenAI or agent-based systems
+ Microsoft Power Platform (Power Apps, Power BI)
**IT at AVEVA**
Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.
We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.
**AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.**
**AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.**
**Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.**
Empowering you with pioneering tech
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy ( .

**Job title** **:** **_Data Engineer_**
+ _Location:_ Barcelona, Spain
**_About the job_**
_We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?_
**_Join our Digital Team as_** **_Data Engineer_** _and you can help make it happen._ **_Our mission_** _is to enable Sanofi's Digital Transformation through becoming an AI first organization._ **_Your job_** _? you_ _will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, led by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business._
**_Main responsibilities:_**
+ _Provide input into the engineering feasibility of developing specific R&D Data/AI Products_
+ _Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates_
+ _Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories_
+ _Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data_
+ _Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans_
+ _Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories_
+ _Optimize data workflows to drive high performance and reliability of implemented data products_
+ _Oversee and support junior engineer with Data/AI Product testing requirements and execution_
+ _Stay current on industry trends, emerging technologies, and best practices in data product engineering_
+ _Contribute to a team culture of innovation, collaboration, and continuous learning within the product team_
**_About you_**
+ **_Experience_** _: 5+ years of experience in data engineering, software engineering, or other related fields_
+ **_Soft skills_** _: Excellent communication and collaboration skills_
+ **_Technical skills_** _: Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT), experience with job scheduling and orchestration (Airflow is a plus), working knowledge of scripting languages (Python, Shell scripting), good knowledge of SQL and relational databases technologies/concepts, strong experience with DevOps technologies like GitHub, GitHub Actions and Terraform, understanding of data structures and algorithms, experience working with data models_
+ **_Education_** _: Bachelor's degree in software engineering or related field, or equivalent work experience_
+ **_Languages_** _: Excellent English communication and writing_
\#LI-Hybrid #BarcelonaHub #SanofiHubs
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
The salary range for this position is :49.600,00 - 74.400,00
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
We are an R&D driven, AI-powered biopharma company committed to improving people's lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people's lives.
We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world.
Discover more about us visiting or via our movie We are Sanofi ( a career that makes a difference.
Reinvention is in our DNA. It's what drove our evolution from a small French enterprise to one of the world's leading biopharma companies. Whether it's using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities.
This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people's lives.

**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.**
Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack.
Following our organization's exciting shift toward a product-oriented approach, we are evolving our data capabilities to deliver direct, high-impact value to our business stakeholders. We are seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team.
In this role, you will be the bridge between complex data infrastructure and user-facing solutions.
**Position overview**
The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions.
You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines & ETL processes, and cloud data migrations in a production, secure and scalable manner.
**How You Will Contribute**
**In this role, you will collaborate with external vendors and internal stakeholders to bridge the gap between complex data engineering and real business impact.**
You will work with project resources to provide design collateral and to configure software components that are aligned with security policy and governance, ensure adherence configuration standards and processes, and share your knowledge of the technology with relevant stakeholders.
**Key Responsibilities**
+ **Data Engineering & Pipeline Management:** Own and advance our internal media data platform. Partner with external vendors to design, build, and optimize robust data pipelines connecting various media platforms.
+ **Full-Stack Product Development:** Transition data into actionable products. Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions.
+ **Product-Oriented Execution:** Adopt a product mindset-ensuring scalability, reliability, and a great user experience for all internal data tools.
+ **Data Governance & Quality:** Ensure data integrity, consistency, and security across all pipelines and downstream applications.
+ **Manage suppliers** who build and maintain the digital data platforms and drive continuous improvement and optimization programs. Ensure the consistent application of software engineering best practices (e.g. version control, testing, continuous integration)
+ **Ensure that all data integration infrastructure works** as designed (API, orchestration, SFTP etc.)
+ **Provide cleaned, transformed data** sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API
+ **Maintain data documentation & definitions**
+ Facilitate change management and continuous improvement to maximize user adoption and business value.
**Qualifications & Experience**
**Required:**
+ Bachelor's degree in Business, Engineering, Information Systems, or related field (or equivalent experience).
+ 5+ years in IT solution ownership, application management, or product ownership - preferably with Google Cloud solutions
+ Hands-on experience with Google Cloud, BigQuery, DBT
+ Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
+ Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
+ Experience in media data engineering and adtech data integration challenges.
**What You Will Bring**
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
+ Industry experience with data transformation technologies such as DBT.
+ A strong command of SQL.
+ Practical experience with statistical techniques and methods such as regression analysis and distributions.
+ Awareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data.
**Skills & Competencies**
+ Exceptional communication and influence skills - able to engage senior leaders, translate complex regulatory/tech topics, and drive consensus.
+ Analytical mindset with focus on data accuracy, cost optimization, and sustainability impact measurement.
+ Proactive, results-oriented; thrives in fast-paced, evolving data environments.
+ Strong project management and prioritization abilities across multiple global initiatives.
**Work schedule:**
The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland.
No Relocation support available
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Software & Applications
Technology & Digital
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Your role
At Kyndryl, Forward Deployed Engineers work where enterprise AI becomes real. This is not a traditional consulting role or a back office engineering position. Forward Deployed Engineers embed directly with customers to design, build, and deploy AI solutions that operate in complex, regulated, production environments.
As a Forward Deployed Engineer (FDE), you will own defined delivery workstreams within customer engagements-prototyping, deploying, and optimizing AI systems that create measurable business outcomes. You will operate with growing independence in customer environments, bridging deep engineering expertise with business context, and translating ambiguous problems into production ready solutions.
This role sits at the intersection of engineering, consulting, and delivery accountability. You will use modern AI development tools to accelerate solution design, code generation, testing, and deployment, while building the customer trust that sustains long term impact and referenceable success.
What you will do
-Customer Engagement & Solution Integrity: Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one
-Rapid Prototyping: Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
-Ownership, Deployment & Partnership: Own delivery end to end, from scoping to production. Work as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
-Optimization: Troubleshoot and enhance system performance, scalability, and reliability
-Field Intelligence: Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl's core platforms and frameworks
-Continuous Learning: Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development
-Platform Contribution: Actively contribute to the evolution of Kyndryl's AI platforms through feedback, code contributions, and collaboration with product teams
**Who You Are**
Required skills and experience
-Programming Proficiency: Demonstrable expertise in Python, (or another modern language such as C#, Node.js or TypeScript); experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus
-Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark
-Cloud & Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures
Preferred skills and experience
-Open-Source Ecosystems: Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories
-T-shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting
-Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms
-Retrieval-Augmented Generation (RAG) & Knowledge Systems: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions
-Performance & Security: Knowledge of system-level optimisation and security best practices for scalable AI systems
-Business Acumen: Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences
-Flexibility: Willingness to travel and work on customer premises as required
-Education: Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline - or equivalent professional experience
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
EN Kyndryl seguimos creciendo por eso queremos incorporar una persona con experiencia en **ingeniería de datos en entornos cloud** que quiera participar en el diseño y desarrollo de soluciones analíticas escalables.
Trabajarás en proyectos con impacto real en negocio, colaborando con equipos multidisciplinares en un entorno ágil.
**Algunas de las responsabilidades serán:**
+ Diseñar y evolucionar arquitecturas de datos en **Google Cloud Platform** , asegurando soluciones escalables, eficientes y orientadas a negocio
+ Desarrollar y mantener pipelines de datos **ETL/ELT robustos** , garantizando la calidad, integridad y disponibilidad de la información
+ Participar en la toma de decisiones técnicas y en la definición de buenas prácticas de ingeniería de datos dentro del equipo
+ Colaborar con otros perfiles técnicos y de negocio en un entorno Agile para construir soluciones analíticas de alto impacto
+ Contribuir a la mejora continua de procesos y flujos de trabajo bajo principios **DataOps** , optimizando el ciclo de vida del dato
+ Apoyar en la optimización y rendimiento de plataformas de datos y cargas analíticas
**Qué ofrecemos:**
+ Participación en proyectos de datos con impacto en negocio
+ Entorno colaborativo con equipos multidisciplinares
+ Oportunidades de aprendizaje y crecimiento en cloud y data
+ Flexibilidad y autonomía en el día a día
+ Cultura orientada a la mejora continua y buenas prácticas
Si crees que puedes encajar en el rol aunque no cumplas todos los requisitos, te animamos a aplicar.
**Who You Are**
**Formación académica**
+ Titulación universitaria en Ingeniería, Informática, Tecnología de la Información y Comunicaciones o similares.
+ **Idiomas:** Inglés nivel B2 o superior.
**Conocimientos requeridos imprescindibles:**
+ Experiencia sólida como Data Engineer (mínimo 4-5 años)
+ Dominio de **GCP (BigQuery, Composer/Airflow, Cloud Functions o similares)**
+ Programación en **Python y PySpark**
+ Conocimiento avanzado de **SQL**
+ Experiencia en diseño de pipelines **ETL/ELT**
+ Experiencia trabajando en entornos Agile
**Valorable:**
+ Experiencia en **DBT o Dataform**
+ Conocimiento de **Terraform**
+ Experiencia con **Kafka o arquitecturas de streaming**
+ Conocimientos de **gobernanza del dato**
+ Experiencia en herramientas como Databricks o Dataiku
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job Purpose:

As a Credit Data Engineer within the Credit function, you will design and own the data infrastructure that powers credit risk management, exposure monitoring, and decision-making across customer, account, and transactional data. You will work closely with the Credit Data Scientist, Credit Management leadership, and regional credit teams to build reliable, well-modeled datasets that enable advanced analytics, ML models, and management reporting. This role plays a key part in strengthening TD SYNNEX's credit governance by delivering the data foundation that supports informed credit decisions, proactive risk identification, and continuous improvement of credit processes across regions.

Responsibilities:

• Design, develop, and maintain data pipelines and transformation models in Snowflake to support credit monitoring, portfolio reviews, and downstream analytics and ML.
• Build and govern the credit data warehouse layer: joins, unions, business rules, slowly-changing dimensions, and curated marts on top of SAP-landed data and external sources.
• Implement a transformation framework (dbt or equivalent) with tests, documentation, and version control to ensure data quality, lineage, and modularity of credit transformations.
• Orchestrate and monitor pipelines so that downstream consumers (analysts, ML models, Power BI) receive reliable, on-time data - with proper scheduling, alerting, and error handling in place.
• Onboard new data sources - credit insurance feeds, financial information providers, local insolvency registries, and the customer portal - into the credit data platform.
• Drive a data quality framework: freshness, uniqueness, referential integrity, and anomaly detection on critical credit datasets.
• Collaborate with global and regional credit stakeholders, the Credit Data Scientist, and the Credit Data Analyst to translate business and policy requirements into well-modeled data products.
• Support the productionisation of credit risk models, scoring approaches, and early warning indicators by providing the upstream features, pipelines, and orchestration they depend on.
• Demonstrate autonomy in technical execution and delivery of engineering tasks and projects, while aligning with strategic direction from Credit leadership and contributing to a collaborative team environment.

Knowledge, Skills and Experience:

Required:

• 3 to 5 years of relevant work experience in data engineering, analytics engineering, or a similar role.
• Bachelor's Degree in Computer Science, Engineering, Big Data, or related field required.
• Strong proficiency in SQL (advanced - window functions, CTEs, query optimization).
• Solid working knowledge of Python for data engineering tasks (pipelines, scripting, data quality).
• Hands-on experience with a cloud data warehouse - Snowflake strongly preferred.
• Working understanding of dimensional data modeling and ETL/ELT patterns.
• Hands-on experience working with ERP-sourced financial data (SAP preferred).
• Experience with Git and standard collaborative development practices (branching, code review, versioning).
• Strong analytical mindset, attention to detail, and problem-solving skills.
• Excellent communication skills in English; additional languages are an advantage.
• Ability to work effectively in a global, multicultural environment.
• Comfortable working independently, managing multiple priorities, and translating business needs into engineering outcomes.

Preferred / a plus:

• Master's / Postgraduate Degree in Computer Science, Data Engineering, Big Data, or related field.
• Hands-on experience with dbt (or another transformation framework such as Dataform, SQLMesh).
• Experience with an orchestrator such as Airflow, Prefect, Dagster, or Snowflake Tasks.
• Experience with Databricks and/or PySpark.
• Familiarity with CI/CD pipelines for data workflows (GitHub Actions, Azure DevOps, or similar).
• Experience integrating data via REST APIs and working with multiple heterogeneous data sources.
• Exposure to AI/ML applications in credit analytics, forecasting, or risk modeling.
• Familiarity with Power BI, SharePoint, Power Automate, or VBA.

What We Offer:

• Hybrid work model with 2 days in the office and 3 days at home.
• Personal and professional growth with our commitment to continuous learning and structured progression plans.
• Comprehensive benefits, including health insurance, paid leave, retirement plans, and more.

Join us on this exciting journey, where every day presents new challenges and opportunities for growth!

"At TD SYNNEX, we embrace diversity and promote equal opportunities. As a Disability Confident employer, we are committed to providing everyone with the opportunity to demonstrate their skills, talent, and abilities, by offering reasonable adjustments throughout the recruitment process and in the workplace where required."

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What's In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
**Who We Are**
We are seeking an exceptionally skilled and influential **Principal Data Engineer** to join and provide technical leadership for the digital solution navify Cervical Screening. You will be a top-tier expert, driving architectural decisions, overseeing data integration and ensuring delivery of features and improvements. This is a critical leadership role for someone who is passionate about data, delivery and technical excellence.
As Data Lead, you will provide orchestration within cross-functional agile product teams, influencing the strategic direction and delivery of data-driven features. While hands-on contributions are expected, your primary focus as a Data Lead will be on ensuring the strategic differentiation of products through data and innovation, orchestrating DA&R capabilities.
**Key Responsibilities**
+ Drive data integration and data fabric adoption across the domains, bringing together data, business and development domains.
+ Ensure best practices and support organization-wide standards for data quality, governance, security, and observability.
+ Act as a technical subject matter expert, mentoring Senior and Staff Engineers and collaborating closely with engineering leadership, data scientists, and business stakeholders.
+ Partner with cross-functional stakeholders to shape data strategy, translate business needs into scalable technical solutions, and influence decision-making at both domain and enterprise levels.
+ Spearhead the evaluation and integration of new technologies to continuously improve the performance and reliability of the data ecosystem.
+ Troubleshoot and resolve the most complex performance and architectural challenges across the data ecosystem.
+ You will be accountable for defining and ensuring timely delivery of all data-related requirements, including data integration, migration, storage, structure, legal compliance, privacy, quality, and insights generation.
+ You will orchestrate DA&R engagement and delivery for digital products, activating the right DA&R capabilities. You will act as a key liaison, building and maintaining strong working relationships with cross-functional experts (other data experts, product owners, software engineers, clinicians) to jointly explore business opportunities and data assets.
**Required Qualifications**
+ 8+ years of professional experience in a Data Engineering role, with significant experience operating at a Principal or Staff-level capacity.
+ Expert proficiency in SQL and Python.
+ Extensive experience architecting and managing large-scale cloud data platforms (e.g., AWS Glue, Google Dataflow, Azure Data Factory) and deep expertise in containerization and orchestration (Docker/Kubernetes).
+ Deep, hands-on expertise in data warehousing concepts, advanced modeling techniques (e.g., dimensional modeling, data vault), and establishing data governance frameworks.
+ Proven track record of building, optimizing, and leading the deployment of massive-scale, highly concurrent data pipelines using distributed processing frameworks (e.g., Apache Spark, Flink).
+ Exceptional communication, negotiation, and influencing skills, with the ability to present complex technical concepts to both technical and executive audiences.
**Preferred Qualifications**
+ Good command of Spanish.
+ Deep experience with workflow orchestration tools (e.g., Apache Airflow, Dagster) and managing them at scale.
+ Experience with NoSQL and graph databases (e.g., MongoDB, Cassandra, Neo4j).
+ Expertise in stream processing architectures and technologies (e.g., Kafka, Kinesis, Pulsar).
+ Extensive experience with Terraform, CloudFormation, or other advanced Infrastructure as Code (IaC) tools and GitOps methodologies.
Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Sant Cugat del Vallès. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.
**Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona**
Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.
At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.
Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: _enabling every healthcare decision to be powered by the right data, at the right time, in the right format_ . We're looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.
Why join Datavant's tech team?
+ You'll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
+ You'll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
+ The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.
**Data Engineer (Python, Spark, Snowflake)**
**The Role**
As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.
**What You'll Do**
+ Design and maintain scalable data pipelines using Python, Spark, and Airflow
+ Ensure pipeline reliability, data quality, and observability
+ Partner with Science and Product to define and prioritize data requirements
+ Implement automated testing and optimize processing performance and cost
+ Design and maintain data validation frameworks aligned with regulatory requirements
**What You'll Bring**
**Required Qualifications**
+ Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
+ 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates
+ Professional experience building data pipelines in Python
+ Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
+ Experience working with cloud data warehouses such as Snowflake
+ Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices
**Preferred Qualifications**
+ Experience designing dimensional or analytics data models
+ Experience working in AWS-based data environments
+ Experience implementing data governance and quality frameworks
+ Understanding of architectural considerations for on premises deployments, including networking and security constraints
+ Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)
**Perks of joining Datavant in Barcelona**
+ Competitive and equitable salary
+ Hybrid work model, with two days per week based in our Gràcia office
+ Daily in-office lunch stipend and access to a fully stocked kitchen
+ Comprehensive private health insurance, including out-of-network reimbursement options
+ 25 days of annual paid leave
+ Six-week "Work from Anywhere" policy
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here ( . Know Your Rights ( , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, ( by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here ( . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy ( .

En ALOVIA Consulting estamos en búsqueda de un/a Data Engineer  Modalidad: : Hibrido (2 días presencial) Localización: Palma de Mallorca Funciones: Diseñar, desarrollar, implementar, entregar aplicaciones  y soluciones basadas en datos para respaldar las necesidades de la compañíaCreación de procesos ETL y ELT Revisión y resolución de incidencias derivadas de los procesos de ingesta.Experiencia en desarrollo con un enfoque en la usabilidad, el rendimiento, la flexibilidad y la estandarizaciónIdentificar proactivamente nuevos datos que aporten valor dentro del ecosistema analítico.Fomentar el Data Literacy en la organización.Trabajar con la información existente para desarrollar informes y dashboards en Microsoft Power BI  enfocados y personalizados para cada área de negocio.Ofrecer un entorno de consulta directa (autoconsumo de la información) que permita a los key business users acceder directamente a la información para la toma de decisiones.RequisitosExperiencia mínima de 4 años en posición similar. Nivel de inglés medio. Experiencia en entornos analíticos Big Data y de Business Intelligence  TradicionalExperiencia en el uso de herramientas ETL/ELT.Experiencia en modelado de datos para soluciones analíticas.Conocimientos de SQL Capacidad analíticaReconocer y adoptar las mejores prácticas en informes y análisis: integridad de datos, diseño de pruebas, análisis, validación y documentación.Experiencia en Azure (especialmente databricks, datafactory) Experiencia con Azure Cloud ((Data Lake, Synapse, Data Factory, Databricks, DevOps …)