Senior Data Engineer - ODS

Senior Data Engineer - ODS

Country: 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!

THE DIFFERENCE YOU MAKE

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 PySpark or Spark SQL, 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, mainly with Scala/Spark.

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, ideally 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.

WHAT YOU’LL BRING

Professional Experience

5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering or similar technical roles. Required

Experience building production-grade data pipelines in large-scale or complex data environments. Required

Hands-on experience working with Apache Spark in real projects, preferably with Scala. Required

Experience working with cloud data platforms. Required

Experience in banking, fintech or regulated environments. Preferred

Language

Fluent Spanish. Preferred

Professional English. Required

Hard Skills

Strong experience with PySpark, Spark SQL or Spark-based distributed processing. Required

Strong Python or 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

Experience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar. Preferred

Scala experience. 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

Soft Skills

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

WHAT TO DO NEXT

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

READY TO TAKE THE NEXT STEP IN YOUR JOURNEY?

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