15 Ofertas de Database Management en España

We are looking for a research engineer who :

• Is comfortable with benchmarking infrastructure for federated analysis and federated learning (not developing models or performing research on modeling).


• Is able to contribute to current software development projects.


• Is excited about developing software from scratch for biomedical research projects.

• Software Development : Work alone and collaboratively to develop new software that helps the group reach its goals.


• Software Maintenance : Work alone and collaboratively to maintain the group's software.


• Infrastructure Tooling : Build Python microservices, Docker / CI pipelines, and REST endpoints.


• Analytical Reporting : Create R / Python notebooks and / or interactive HTML reports for software and infrastructure checks.


• CI / CD : Be able to adapt to a CI / CD culture and contribute to maintaining and arguing for it.


• Collaboration & Compliance : Work with technical people, clinicians, and bioinformaticians in a professional and friendly manner.

Education

• BSc / MSc in Computer Science, Bioinformatics, or a related field with proven experience.

Essential Knowledge and Professional Experience

• Approximately 2 years of coding experience.


• Coding and software development.

Additional Knowledge and Professional Experience

• Python (FastAPI / Flask, pytest, etc.) for infrastructure, software, and API design.


• SQL, Git, Linux, and familiarity with Docker / CI-CD.

Competences

Exposure to healthcare and biomedical topics (tailored to the group's research).

• Experience with REST / GraphQL schema design.


• Experience with workflow managers (Nextflow, Airflow) or orchestrators (Kubernetes).


• HPC or cloud know-how (OpenStack, AWS / GCP / Azure).


• Exposure to privacy-enhancing technologies (synthetic data, differential privacy).

• The position will be located at BSC within the Life Sciences Department


• We offer a part-time contract (20h / week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures


• Duration : Open-ended contract due to technical and scientific activities linked to the project and budget duration


• Holidays : 23 paid vacation days plus 24th and 31st of December per our collective agreement


• Salary : we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona


• Starting date : 01 / 11 / 2025

Context And Mission

We are looking for a research engineer who :

• Is comfortable with benchmarking infrastructure for federated analysis and federated learning (not developing models or performing research on modeling).


• Is able to contribute to current software development projects.


• Is excited about developing software from scratch for biomedical research projects.

• Software Development : Work alone and collaboratively to develop new software that helps the group reach its goals.


• Software Maintenance : Work alone and collaboratively to maintain the group's software.


• Infrastructure Tooling : Build Python microservices, Docker / CI pipelines, and REST endpoints.


• Analytical Reporting : Create R / Python notebooks and / or interactive HTML reports for software and infrastructure checks.


• CI / CD : Be able to adapt to a CI / CD culture and contribute to maintaining and arguing for it.


• Collaboration & Compliance : Work with technical people, clinicians, and bioinformaticians in a professional and friendly manner.

Education

• BSc / MSc in Computer Science, Bioinformatics, or a related field with proven experience.

Essential Knowledge and Professional Experience

• Approximately 2 years of coding experience.


• Coding and software development.

Additional Knowledge and Professional Experience

• Python (FastAPI / Flask, pytest, etc.) for infrastructure, software, and API design.


• SQL, Git, Linux, and familiarity with Docker / CI-CD.

Competences

Exposure to healthcare and biomedical topics (tailored to the group's research).

• Experience with REST / GraphQL schema design.


• Experience with workflow managers (Nextflow, Airflow) or orchestrators (Kubernetes).


• HPC or cloud know-how (OpenStack, AWS / GCP / Azure).


• Exposure to privacy-enhancing technologies (synthetic data, differential privacy).

• The position will be located at BSC within the Life Sciences Department


• We offer a part-time contract (20h / week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures


• Duration : Open-ended contract due to technical and scientific activities linked to the project and budget duration


• Holidays : 23 paid vacation days plus 24th and 31st of December per our collective agreement


• Salary : we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona


• Starting date : 01 / 11 / 2025

Context And Mission We are looking for a research engineer who :
Is comfortable with benchmarking infrastructure for federated analysis and federated learning (not developing models or performing research on modeling).
Is able to contribute to current software development projects.
Is excited about developing software from scratch for biomedical research projects.
Key Duties Software Development : Work alone and collaboratively to develop new software that helps the group reach its goals.
Software Maintenance : Work alone and collaboratively to maintain the group's software.
Infrastructure Tooling : Build Python microservices, Docker / CI pipelines, and REST endpoints.
Analytical Reporting : Create R / Python notebooks and / or interactive HTML reports for software and infrastructure checks.
CI / CD : Be able to adapt to a CI / CD culture and contribute to maintaining and arguing for it.
Collaboration & Compliance : Work with technical people, clinicians, and bioinformaticians in a professional and friendly manner.
Requirements Education
BSc / MSc in Computer Science, Bioinformatics, or a related field with proven experience.
Essential Knowledge and Professional Experience
Approximately 2 years of coding experience.
Coding and software development.
Additional Knowledge and Professional Experience
Python (FastAPI / Flask, pytest, etc.) for infrastructure, software, and API design.
SQL, Git, Linux, and familiarity with Docker / CI-CD.
Competences
Exposure to healthcare and biomedical topics (tailored to the group's research).
Experience with REST / GraphQL schema design.
Experience with workflow managers (Nextflow, Airflow) or orchestrators (Kubernetes).
HPC or cloud know-how (OpenStack, AWS / GCP / Azure).
Exposure to privacy-enhancing technologies (synthetic data, differential privacy).
Conditions The position will be located at BSC within the Life Sciences Department
We offer a part-time contract (20h / week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
Duration : Open-ended contract due to technical and scientific activities linked to the project and budget duration
Holidays : 23 paid vacation days plus 24th and 31st of December per our collective agreement
Salary : we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Starting date : 01 / 11 / 2025

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Are you driven by the challenge of designing and operationalizing statistically rigorous models that directly quantify business impact? Are you an expert in statistical inference and Bayesian methodologies, capable of moving beyond correlation to establish causality?

We are seeking a talented and experienced Data Scientist with a special focus on Marketing Mix Modeling (MMM) to join our growing team. s360 is a leading digital marketing agency and a certified Google Meridian partner. We're rapidly expanding our data science and cloud capabilities, particularly in Marketing Mix Modeling (MMM), to deliver cutting-edge solutions that drive marketing effectiveness for our clients.

Lead the marketing modeling transformation

You will play an instrumental role in developing and implementing advanced MMM solutions, directly helping our clients understand and optimize their marketing investments.

As a Data Scientist for MMM at s360, you will:

• Design, build and implement scalable and efficient Marketing Mix Models for our clients, leveraging Google's Meridian and other relevant frameworks.
• Collect, clean and process large, diverse datasets from various sources to prepare them as robust model inputs.
• Collaborate closely with clients to understand their business objectives and data needs, and to present model results and recommendations in a clear and compelling way.
• Run optimization and simulation scenarios to guide clients' marketing investment and allocation decisions.
• Work tightly with our data engineering and business intelligence teams to ensure seamless data flow and integration.
• Stay up-to-date with the latest advancements in MMM, marketing analytics, and data science, actively contributing to the continuous improvement of our MMM offering.

About the team

You will join a dynamic, fast-growing team of data scientists and engineers, reporting directly to the Group CTO. As a truly international team with diverse backgrounds, we embrace different perspectives and ways of thinking, always striving to deliver the best results for our clients.

The position is based in one of the s360 offices in Barcelona, London, Helsinki, Copenhagen, or Aarhus. No matter where you are located, you will be part of a close-knit, collaborative team that works together across markets every day to share knowledge and achieve the best results for our clients.

Technical expert with a passion for turning data into impact

You will likely describe yourself as someone with a growth mindset and a solid background in data science and marketing analytics. Ideally, you will also bring:

• A Master's degree or PhD in a quantitative field such as Statistics, Economics, Mathematics, Engineering, or Computer Science.
• 1+ years of hands-on experience in data science
• Expert proficiency in Python and SQL for data manipulation, modeling, and analysis.
• Strong experience with statistical modeling techniques, including regression analysis, time series analysis, and Bayesian modeling.
• Experience with cloud platforms, preferably Google Cloud Platform (GCP).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Strong project management skills and the ability to work independently in a fast-paced, agile environment.

Working at s360

At s360, you will be part of one of Europe's fastest-growing digital marketing agencies, working alongside more than 350 skilled colleagues across 11 offices in 8 countries. While our shared mission is to help brands and retailers grow, we are equally committed to fostering a strong culture, defined by collaboration, drive, and continuous development. We believe that our culture and ways of working are key to delivering long-term, meaningful results.

As a part of our team, you can look forward to:

• Skilled colleagues:Collaborate with some of the brightest minds in the industry and be part of an ambitious team with deep expertise across all key digital disciplines.
• Top-tier clients: Work with some of the biggest brands in the world on solving their most complex and interesting commercial problems.
• Growth journey: Join one of the fastest-growing digital marketing agencies in Europe with the ambition of becoming the best in the world.
• International environment: With 11 offices across 8 countries, you will have the opportunity to collaborate with people from diverse cultures around the world.
• Career acceleration: Get individual career plans to influence your own professional path and contribute to shaping the company's future.
• Continuous development: A learning culture where people strive to become 1% better every day, supported by advanced training and knowledge sharing.

We'd love to hear from you

Do you have any questions? Then don't hesitate to apply or reach out to CTO, Hermanni Nurila at

We review applications on an ongoing basis and hire as soon as the right candidate is found, so please send your CV and application as soon as possible. All inquiries are treated confidentially.

About s360

s360 is a leading European digital marketing agency that helps brands and retailers grow by providing a strong tech foundation, best-in-class execution, and deep industry expertise. With a team of +300 digital specialists, s360 operates ten offices across seven countries: Denmark, Finland, Norway, Sweden, the United Kingdom, the Netherlands, and Spain. In recent years, s360 has been recognised with numerous national and European awards, making it one of Europe's most award-winning digital marketing agencies.

Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

As a Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models , with a first focus in Credit Risk models in Santander Consumer Finance. You will help across multiple fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans, develop models according to internal standards and guidelines, sponsor needs, and regulatory requirements; document and deliver materials; support during implementation phases and securitization processes.
• Monitoring of risk models performance and reporting: execute/assist monitoring reports; analyze results and propose necessary actions.
• Maintenance of risk models: recalibrate, adjust, time window updates, and other actions based on monitoring results and sponsor needs.
• Governance of risk models: support governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), ensuring recommendations/obligations are met timely.
• Transformation and evolution projects: participate in local/global projects related to digital transformation (Data as a Service, platform migrations, automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasies and proposing new ones for digital approaches.

2-4 years of experience in modelling in the Finance field or similar; Data Science/Big Data experience; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.

Quantitative education oriented (Engineering, Physics/Math/Programming/Statistics/Economics/Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation.

Fluent English (C1), spoken and written; high level of programming skills in SAS, Python, R, etc.; project management skills valuable (PMI, Agile); ability to work in multicultural environments.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to help more people and businesses prosper.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Finance, Analyst, and Information Technology

Note: This description reflects current expectations and does not guarantee a job offer or continued employment.

Overview

Data Scientist, Predictive Modelling in Credit Risk - SCF HQ

Country: Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

WHY YOU SHOULD CONSIDER THIS OPPORTUNITY

At Santander ( we are key players in the transformation of the financial sector. Do you want to join us?

Santander Consumer Finance focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper.

As a Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.

We need someone like you to help us in different fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans agreed with different sponsors; develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data Quality; document and deliver the materials according to internal Group/local standards; support/participate during implementation phase (pre-production, allocation, etc.); securitization processes support; etc.
• Monitoring of risk models performance and report: execute and/or support the execution of monitoring reports; analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.
• Maintenance of Risk models: assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc.) according to the results of the models monitoring, internal standards and different sponsor’s needs.
• Governance of risk models: accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), assuring that the recommendations/obligations related to the development and maintenance of models are met on a proper and timely manner.
• Transformation and evolution projects: participate and/or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization/automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.

2-4 years of experience in modelling in Finance field or similar needed; Data Science/Big Data needed; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.

Quantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation

Fluent English (C1), spoken and written; high level of programming skills in different languages (SAS, Python, R, Others); project management skills valuable (PMI, Agile, etc); team work; multicultural environments

If you want to know more about us, follow us on

Santander Boadilla del Monte, Community of Madrid, Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

As a Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models , with a first focus in Credit Risk models in Santander Consumer Finance. You will help across multiple fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans, develop models according to internal standards and guidelines, sponsor needs, and regulatory requirements;
  
  document and deliver materials;
  
  support during implementation phases and securitization processes.
• Monitoring of risk models performance and reporting: execute/assist monitoring reports;
  
  analyze results and propose necessary actions.
• Maintenance of risk models: recalibrate, adjust, time window updates, and other actions based on monitoring results and sponsor needs.
• Governance of risk models: support governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), ensuring recommendations/obligations are met timely.
• Transformation and evolution projects: participate in local/global projects related to digital transformation (Data as a Service, platform migrations, automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasies and proposing new ones for digital approaches.

2-4 years of experience in modelling in the Finance field or similar;

Data Science/Big Data experience;

Credit Risk, Operational Risk and Market/ALM knowledge valuable;

expected loss valuable.

Quantitative education oriented (Engineering, Physics/Math/Programming/Statistics/Economics/Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation.

Fluent English (C1), spoken and written;

high level of programming skills in SAS, Python, R, etc.;

project management skills valuable (PMI, Agile);

ability to work in multicultural environments.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to help more people and businesses prosper.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Finance, Analyst, and Information Technology

Note: This description reflects current expectations and does not guarantee a job offer or continued employment.

Santander Boadilla del Monte, Community of Madrid, Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

As a Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models , with a first focus in Credit Risk models in Santander Consumer Finance. You will help across multiple fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans, develop models according to internal standards and guidelines, sponsor needs, and regulatory requirements; document and deliver materials; support during implementation phases and securitization processes.
• Monitoring of risk models performance and reporting: execute/assist monitoring reports; analyze results and propose necessary actions.
• Maintenance of risk models: recalibrate, adjust, time window updates, and other actions based on monitoring results and sponsor needs.
• Governance of risk models: support governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), ensuring recommendations/obligations are met timely.
• Transformation and evolution projects: participate in local/global projects related to digital transformation (Data as a Service, platform migrations, automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasies and proposing new ones for digital approaches.

2-4 years of experience in modelling in the Finance field or similar; Data Science/Big Data experience; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.

Quantitative education oriented (Engineering, Physics/Math/Programming/Statistics/Economics/Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation.

Fluent English (C1), spoken and written; high level of programming skills in SAS, Python, R, etc.; project management skills valuable (PMI, Agile); ability to work in multicultural environments.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to help more people and businesses prosper.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Finance, Analyst, and Information Technology

Note: This description reflects current expectations and does not guarantee a job offer or continued employment.