Data Engineer (Databricks, Python, Spark)

Data Engineer (Databricks, Python, Spark) up to €60,000 Bonus Barcelona | Leading European Financial Institution Passionate about data and cutting-edge technology?
Join a rapidly growing platform that drives key operations for one of Europe's top financial powerhouses.
We're searching for an experienced Data Engineer to design, enhance, and maintain complex data pipelines using Databricks, Python, and Spark .
Hybrid role 1 day a week in the office.
What's the opportunity?
Be part of a dynamic team shaping the future of cloud-based data architecture.
You'll work closely with investment management clients, ensuring business-critical operations thrive with state-of-the-art technology.
Your Role: Design, develop, and maintain complex data pipeline products and large-scale analytics applications.
Collaborate with internal clients to tailor solutions that meet unique needs.
Drive excellence in technology choices, standards, and processes.
Stay ahead of the curve by learning and adopting new data engineering technologies.
If you have a number of these then please apply quickly: Proven Data Engineering experience, with at least 2 years working with Databricks .
Hands-on experience with Python, PySpark, SparkSQL, or Scala .
Strong knowledge of Big Data pipelines/DAG tools (Airflow, Data Factory, dbt, etc.).
Expertise in Spark/Delta Lake and cloud ecosystems (Azure preferred, AWS or GCP considered).
SQL wizardry – capable of crafting complex, optimized queries across large data sets.
Financial data experience (Bloomberg, asset management) is a big plus Fluency in English is essential.
Ready to make an impact?
Apply now with your CV in English or DM for more details.
Databricks Python Spark DataEngineering CloudTechnology BarcelonaJobs FinancialServices