Senior Data Engineer - ODS
Madrid, Spain·Added 4 days ago
87 open roles
What they ask for
Have the right to work in Spain
Santander doesn't mention sponsorship in the ad.
Speak fluent Spanish
Listed as a requirement in the ad.
Work in English
English is required, per the ad.
Work on-site in Madrid
No relocation package mentioned.
Have 5+ years of experience
Senior-level role.
About the job
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.
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
- 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
- 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
Languages
- Fluent Spanish. Preferred
- Professional English. Required
Hiring process
If this sounds like a role you are interested in, then please apply.
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
How they hire
Application
CV screening · With recruitment team
Phone call
With People & Culture team · Phone call · 20 min
A short call about your motivation and the details of the role.
Interviews
Virtual or in-person conversations about your experience, expectations and the value you could bring.
Background check
Offer
- Santander suggests exploring the company on its website and LinkedIn before applying.
- The Spanish version of the page lists the same eight steps.
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