We are seeking an experienced Data Engineer to join our Investment Accounting and Administration department within Investment Management, focusing on cloud-based database design, architecture, data pipelines, Python, Spark, and 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, possess a data engineering background, and/or 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:
- Work with the team to understand platform capabilities and how to best improve and expand those capabilities.
- Design, develop, enhance, and maintain complex data pipeline products which manage business-critical operations and large-scale analytics applications.
- Support internal Investment Management clients and understand their unique needs and challenges.
- Instill excellence into the processes, methodologies, standards, and technology choices embraced by the team.
- Grasp new concepts quickly to keep up with fast-moving data engineering technology and AI.
- Dedicate time to continuous learning to keep the team appraised of the latest developments in the space.
- Work alongside experts in various technological domains.
- Enhance your skills with real‐world experience.
- Contribute to a team that values your input and creativity.
What Makes You a Great Fit?
While we're not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you'll be a fantastic fit for our team.
- 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.
- Experience with AI, LLMs, Databricks Genie or similar tools is required.
- Must be comfortable speaking English.
- A positive attitude and a 'can do' mentality is essential.
And... What Makes Us Special?
- Competitive salary and yearly bonus.
- Flexible working model to support work‐life balance.
- Over 300 euros to set up your home office and an additional monthly home office allowance.
- Wide range of internal and external trainings, including English, German and Spanish classes depending on needs.
- Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.
- Life and accident insurance.
- Collective Life retirement Plan.
- 2000 referral bonus if you bring other talented people to the company.
- Special banking and insurance conditions plus exclusive employee discounts.
- Functional diversity benefits.
- Different social clubs such as hiking, investment, beach volley and many more.
- Stock options and mortgage benefits.
Where Are We Located?
Via Augusta, Barcelona.
We Are Waiting for You.
Can you see yourself in this role? Don't wait any longer. Apply by sending your CV in English.
At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.
- Location(s): ES - Barcelona
- Schedule: Full Time
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