Data Engineer (Databricks, Python, Spark)

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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. xqbhyrx
- 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 envi

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