Data Engineer

Data Engineer (Databricks, Python, Spark)

At Hays, we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project.

This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics.

What you will do

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build Big Data solutions with Spark, PySpark, and cloud technologies.
• Collaborate with global investment and technology teams to deliver data-driven solutions.
• Support business stakeholders with data insights and reporting.
• Contribute to best practices, CI/CD processes, and continuous improvement initiatives.
• Explore and leverage AI and LLM technologies to enhance platform capabilities.

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 a plus.
• 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

• Hybrid and flexible working model: only 1 day per week on-site at the Barcelona office (Via Augusta)
• Opportunity to join a high-impact global data transformation program within a leading international financial services organization

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.