Data Engineer (Databricks, Python, Spark)
We are looking for an experienced Data Engineer to join a high-impact initiative within an Investment Management environment, focusing on cloud-based data platforms, scalable architecture, and advanced analytics.
In this role, you will contribute to the design, development, and continuous improvement of a sophisticated data hub that supports critical business operations and investment decision-making. You will work with modern technologies such as Databricks, Python, and Spark, helping to build robust data pipelines and enable data-driven insights across global teams.
You will collaborate closely with investment professionals, leveraging large volumes of financial data (including Bloomberg and other market sources) to unlock business value and enhance reporting capabilities. This role offers exposure to a highly international environment and the opportunity to work on a fast-growing, strategic platform within the organization.
What you will do
* Work with the team to understand platform capabilities and how to best improve and expand those capabilities.
* Design, development, enhancement, and maintenance of 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.
* Instil 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.
What we are looking for
* 3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required.
* 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience
* 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar)
* 2+ years of Spark experience (especially Databricks Spark and Delta Lake)
* 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes
* Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu.
* Experience with AI, LLMs, Databricks Genie or similar tools 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 conceptual, logical and/or physical database designs is a plus
* Must be comfortable speaking English
* A positive attitude and a ‘can do’ mentality are essential
What We Offer
* Freelance contract through Hays
* Hybrid working model with high flexibility: only one day per week on-site (Via Augusta, Barcelona)
* Opportunity to work on a high-impact, global internal platform
* Join a stable, innovation-driven environment with a long-term strategic vision
💡 If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.