We're looking for an experienced Data Engineer with expertise in Databricks, Python, and Spark to design, develop, enhance, and maintain a complex data hub supporting business-critical operations and large-scale analytics within Investment Management.

🎯 Role overview

You'll work with a global team of Investment professionals to unlock value from Bloomberg and other financial data, support investment teams with data insights and reporting, and help expand a rapidly growing platform.

🎯 Responsibilities

• Work with the team to understand platform capabilities and identify opportunities to improve and expand them.
• Design, develop, enhance, and maintain complex data pipeline products supporting business-critical operations and large-scale analytics applications.
• Support internal Investment Management clients by understanding their needs and challenges.
• Help establish high standards for processes, methodologies, technology choices, and engineering practices.
• Learn new concepts quickly and stay current with advances in data engineering and AI.
• Dedicate time to continuous learning and share relevant developments with the team.
• Collaborate with experts across different technology domains.
• Contribute ideas and creativity to a collaborative team environment.

🛠️ Requirements

• At least 3 years of Data Engineering experience, including at least 2 years designing and building Databricks data pipelines.
• At least 2 years of hands-on experience with Python, PySpark, Spark SQL, and/or Scala.
• At least 2 years of experience with Big Data pipelines or DAG tools, such as Data Factory, Airflow, dbt, or similar.
• At least 2 years of Spark experience, particularly Databricks Spark and Delta Lake.
• At least 2 years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data Lakes or Delta Lakes.
• Experience with AI, LLMs, Databricks Genie, or similar tools.
• Comfort speaking English.
• A positive attitude and a proactive, can-do approach.

➕ Preferred qualifications

• Experience with Azure cloud. Experience with AWS, GCP, or another cloud platform may be considered instead.
• Experience with conceptual, logical, and/or physical database design.
• At least 2 years of SQL experience, including writing complex, highly optimized queries across large volumes of data.
• Experience working in a controlled environment using GitHub and CI/CD release pipelines.
• Experience with financial data providers such as Bloomberg within asset management, investment management, or another financial services organization.

🤗 Benefits

• Competitive salary.
• Yearly bonus.
• More than €300 to set up a home office, plus an additional monthly home office allowance.
• Internal and external training opportunities, including English, German, and Spanish classes based on business needs.
• Restaurant ticket and health insurance, with the option to exchange them for other benefits.
• Life and accident insurance.
• Collective life retirement plan.
• €2,000 referral bonus for successful referrals.
• Special banking and insurance conditions.
• Exclusive employee discounts.
• Functional diversity benefits.
• Social clubs, including hiking, investment, and beach volleyball.
• Stock options and mortgage benefits.

📄 Application

Please submit your CV in English.