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Senior Data Engineer - ODS

On-site in Madrid·Added 1 month ago (last checked 26 Oct)

Santander

70 open roles

Our summary

Work mode
On-site, Madrid
English
Required
Experience
5+ years

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Skills

Nice to have

Requirements

What we're looking for

  • 5+ years of experience in Data Engineering, Big Data Engineering, or similar technical roles. Required
  • Experience building production-grade data pipelines in large-scale or complex data environments. Required
  • 5+ years of hands-on experience working with Spark in real projects with Scala. Required
  • Experience working with cloud data platforms. Required
  • Professional English. Required
  • Strong experience with Spark-based distributed processing. Required
  • Strong Scala coding skills for data engineering use cases. Required
  • Solid SQL knowledge and experience working with relational and analytical databases. Required
  • Experience designing and optimizing ETL/ELT processes. Required
  • Experience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation. Required
  • Experience with Git and collaborative software development practices. Required
  • Understanding of data quality, validation, monitoring and performance optimization. Required
  • Strong problem-solving skills and ability to work autonomously. Required
  • Ownership mindset and focus on building reliable, maintainable solutions. Required
  • Ability to communicate clearly with technical and non-technical stakeholders. Required
  • Collaborative approach and ability to work across Data Engineering, Data Science, ML and business teams. Required
  • Curiosity and willingness to learn new tools, frameworks and cloud services. Required

Nice to have

  • Experience in banking, fintech or regulated environments. Preferred
  • Fluent Spanish. Preferred
  • Experience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar. Preferred
  • Experience with Apache Flink, Spark Streaming or near-real-time applications. Preferred
  • Experience with Apache Iceberg, Delta Lake or modern lakehouse formats. Preferred
  • Experience with Airflow or workflow orchestration tools. Preferred

The role

Senior Data Engineer - ODSCountry: Spain

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates. Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry.

Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first.

Be part of our Best-in-Class team and help us create unique value for our customers!

What you'll do

As a Senior Data Engineer within the Data Management department, you will design, build and optimize scalable data solutions that support analytics, machine learning, reporting and business-critical decision-making.

You will work with large and complex data environments, developing robust data pipelines and distributed processing solutions using Spark-based technologies. This role is ideal for someone with strong data engineering fundamentals, hands-on experience with Spark, and the ability to build reliable production data solutions in cloud environments.

To succeed in this role, you will be responsible for:

  • Designing, developing and optimizing large-scale data pipelines using Apache Spark and Scala.
  • Building and maintaining batch and near-real-time data processing solutions for high-volume data environments.
  • Creating reliable, reusable and well-structured datasets consumed by Analytics, Data Science, Machine Learning and business teams.
  • Working with cloud data platforms (AWS), to process, transform, store and expose data efficiently.
  • Implementing data quality, validation, monitoring and documentation practices across data pipelines.
  • Collaborating with Data Engineering, Data Science, Machine Learning, Architecture and business teams to understand requirements and deliver practical data solutions.
  • Contributing to engineering best practices around code quality, testing, version control, CI/CD and automation.

Hiring process

2 steps2 interviews
  1. Application

  2. CV screening · With recruitment team

  3. Phone call

    With People & Culture team · Phone call · 20 min

    A short call about your motivation and the details of the role.

  4. Interviews

    Virtual or in-person conversations about your experience, expectations and the value you could bring.

  5. Background check

  6. Offer

  • Santander suggests exploring the company on its website and LinkedIn before applying.
  • The Spanish version of the page lists the same eight steps.

Hiring process

If this sounds like a role you are interested in, then please apply.

About Santander

Banco Santander is a global financial services group headquartered in Boadilla del Monte, Spain, and one of the largest banks in the eurozone by market value. It operates across retail and commercial banking, wealth management, and investment banking (through its CIB division, Santander Corporate & Investment Banking), with a strong focus on digital transformation and fintech innovation. The group serves over 160 million customers worldwide and employs more than 200,000 people, with a significant technology and operations hub in Spain.

In Spain, Santander is a dominant financial institution and a major employer of tech, data, and business talent, with its main technology and operations center in Boadilla del Monte (Madrid area) and additional offices in cities like Barcelona and Santander. The company is actively investing in AI, cybersecurity, and digital product development, making it a relevant destination for international professionals seeking roles in banking, engineering, and data. Its global scale and English-friendly corporate environment, especially in CIB and technology teams, offer strong opportunities for relocators.

Industry
Banking and Fintech
Founded
1857
Employees
100,000–500,000
Headquarters
Boadilla del Monte, Spain
In Spain
Boadilla del Monte, Madrid, Barcelona

Good to know if you are moving

  • Santander is headquartered in Boadilla del Monte, near Madrid, and offers a large, international work environment with English commonly used in tech and CIB roles.
  • The company has a strong commitment to digital transformation, with significant investment in AI, cybersecurity, and data engineering, creating opportunities for tech professionals.
  • Santander provides relocation support and has a diverse workforce, with employees from many nationalities, especially in its technology and operations centers.
  • The bank's global presence means opportunities for international mobility and career growth across its many subsidiaries.
  • Working at Santander in Spain offers a competitive salary and benefits package, including flexible working arrangements and professional development programs.

In their own words

Additional information

Open Digital Services is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.

We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.

For further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing here

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