Data Engineer (Databricks, Python, Spark) Hays , we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project. This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics. Design, develop, and maintain scalable data pipelines using Databricks.

Build Big Data solutions with Spark, PySpark, and cloud technologies.

Collaborate with general investment and technology teams to deliver data-driven solutions.

Support business stakeholders with data insights and reporting.

3+ years of Data Engineering Databricks data pipelines Python/Pyspark/SparkSQL Scala Big Data pipelines DAG Tools (Data Factory, Airflow, dbt, or similar)

Spark experience (especially Databricks Spark and Delta Lake)





Big Data solutions in a cloud ecosystem, including Data/Delta Lakes

Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu. SQL experience , specifically to write complex, highly optimized queries across large volumes of data is highly desired

Experience working in a controlled environment with Github and CI/CD release pipelines is highly desired

Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus.

Experience with conceptual, logical and/or physical database designs is a plus

Must be comfortable speaking English

Hybrid and flexible working model: 1 day per week on-site at the Barcelona office (Via Augusta)

high-impact global data transformation program

📌 Ingegnere Dei Dati (Barcelona)
🏢 Hays
📍 Barcelona