Data Integration Engineer

Are you an experienced Data Engineer with experience of Data Integration in Production Environments?

I am working with an internationally renowned client who is looking for someone to help integrate diverse internal and external data sources into enterprise analytics platforms to support AI and analytical workloads.

The role exists to translate business and user needs into robust data structures and pipelines that downstream developers, analysts and UX teams can rely on. You'll work with cross-functional stakeholders to ensure data is well modelled and clearly understood by its consumers.

I am therefore keen to speak with candidates who have

• Hands-on experience integrating data into Snowflake and Databricks in production environments.
• Strong working knowledge of Kafka, Python and SQL.
• Experience building and maintaining data pipelines using modern ETL/ELT tools.
• Familiarity with Git-based development workflows.
• Experience with visualisation or monitoring tools such as Power BI and Grafana.
• Solid grounding in big data engineering and data analytics principles.
• Experience supporting AI or ML inference pipelines and collaborating with UX or front-end teams.
• Strong documentation and communication skills in a cross-functional environment.