Senior Data Engineer

Our client, a leading financial services organisation undergoing significant growth, is seeking a Senior Data Engineer with strong Databricks expertise to drive high-value data initiatives within the reinsurance and investment domain. This role centres on building scalable data solutions, optimising analytical workflows, and partnering with senior business experts to deliver insight-driven outcomes.

• Develop and optimise data pipelines on Databricks, leveraging Spark for large-scale processing.

• Design and implement data models, mapping, and transformation workflows across complex financial datasets.

• Use Python (Pandas, NumPy) and SQL to support advanced analytics and data manipulation.

• Collaborate with business SMEs to translate requirements into robust, production-ready data solutions.

• Integrate Databricks with GCP/BigQuery to support cloud-native data engineering initiatives.

• Hands-on Databricks experience, including Spark, Delta Lake, and workflow orchestration.

• Strong SQL for complex querying and optimisation.

• Python proficiency, especially for data wrangling and automation.

• Financial domain knowledge, ideally asset management, investment operations, or asset data.

• Degree in investments, accounting, or actuarial science from a UK university.

• Experience with dbt for transformation pipelines.

• Background in reinsurance, life insurance, or investment-focused projects.

• Familiarity with GCP/BigQuery in a production environment.

If you're a Databricks-savvy engineer ready to make an immediate impact in a high-performing financial environment, send your CV to be considered.