You're reading about Zurich Insurance Group, a general leader in insurance, but this role specifically pertains to ServiZurich. Established in Barcelona in 2006, ServiZurich operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and integral business units. In addition to our technological solutions, we excel in investment, administration, and accounting, ensuring comprehensive support for Zurich's diverse operations.

Career opportunity in our Investment Accounting and Administration department within Investment Management for an experienced Data Engineer in cloud based database design and architecture, data pipelines, Python, Spark using Databricks technology. Individuals in this role will assist in the design, development, enhancement, and maintenance of a complex data hub that manages key business operations. Qualified applicants will have a demonstrated capability to learn new concepts quickly, have a data engineering background, and/or have robust software engineering expertise.

This role works with a global team of Investment professionals, unlocking value from our vast store of Bloomberg and other financial data. The team also supports many other investment teams with data insights and reporting. Join our dynamic team and work on a rapidly growing key platform for Investment Management.

As a Data Engineer you will have the opportunity to: Design, development, enhancement, and maintenance of complex data pipeline products which manage business-critical operations and large-scale analytics applications. Grasp new concepts quickly to keep up with fast-moving data engineering technology and AI.



3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required; Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu. ~ Experience with conceptual, logical and/or physical database designs is a plus ~2+ years of hands‑on Python/Pyspark/SparkSQL and/or Scala experience is required ~2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar) is required ~2+ years of Spark experience (especially Databricks Spark and Delta Lake) is required ~2+ years of hands‑on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, is required ~2+ years of 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 highly desired but not essential ~ Must be comfortable speaking English ~ To support your work-life balance, we have adopted a flexible working model. ~ Over 300 euros to set up your home office and additional monthly home office allowance. ~ Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs. ~ Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits. ~ Collective Life retirement Plan ~Different social clubs such as hiking, investment, beach volley and many more ~ We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.

Remote working: Hybrid Schedule: Full Time #

📌 Data Engineer Python, Scala, Spark (Barcelona)
🏢 Tamarind Intelligence
📍 Barcelona