Overview
In this Data Engineer role within Investment Management, you will design and maintain a cloud-based data hub and pipelines that enable large-scale analytics for investment teams. You’ll work with a global, collaborative group and continuously learn to apply the latest data engineering and AI concepts. Your contributions will unlock value from financial data sources like Bloomberg and support cross-functional investment stakeholders. This is a hands-on, growth-oriented opportunity to shape a key platform in a tech-driven environment.
Compensaciones / Ventajas
flexible working model
home office setup allowance
training (languages)
health insurance
life and accident insurance
stock options
Responsabilidades
Design, develop, enhance, and maintain complex data pipelines for business-critical operations and analytics
Support internal Investment Management clients and address their needs
Improve platform capabilities and influence technology choices and standards
Stay current with evolving data engineering and AI technologies and share knowledge with the team




Collaborate with experts across domains to deliver real-world data solutions
Contribute to a culture of continuous learning and creative input
Requisitos principales
~3+ years of Data Engineering experience with 2+ years designing and building Databricks data pipelines
~ Azure cloud experience preferred (AWS/GCP also considered)
~2+ years Python/PySpark/SparkSQL and/or Scala
~2+ years Big Data pipelines or DAG tools (Data Factory, Airflow, dbt)
~2+ years Spark experience (Databricks Spark and Delta Lake)
~2+ years implementing Big Data solutions in a cloud ecosystem (Data/Delta Lakes)
~2+ years SQL with complex queries
~ Experience with GitHub and CI/CD pipelines (desirable)
~ Experience with financial data providers such as Bloomberg (desirable)
~ Experience with AI/LLMs, Databricks Genie or similar tools
~ Proficiency in English
~ Positive attitude and can-do mentality

positive attitude
can-do mentality

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