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Job Description

My client, a top insurance company, is looking for a Senior Data Engineer to join their AI team and build AI-first products. This team delivers apps and services that use machine learning to effectively aggregate data sources, prescribe actions and insights to users.

The successful Senior Data Engineer will:

  • Design and build scalable data pipelines
  • Collaborate closely with colleagues to support data science use cases
  • On-board, document and curate external datasets
  • Engage in data interpretation, forensic data analysis and troubleshooting

The successful Senior Data Engineer will likely have:

  • Previous experience as a Data Engineer
  • Extensive experience with Python
  • Experience of cloud platforms (e.g. Amazon Web Services)
  • Experience optimising SQL queries


  • Experience of data orchestration platforms (e.g. Airflow)
  • Experience building streaming pipelines (e.g. Kafka, Kinesis)
  • Experience in feature engineering for Machine Learning applications

If you like the sound of this vacancy, apply now.

Keywords: Data Engineer, ETL, AWS, Azure, Snowflake, Kafka, Kinesis, Machine Learning, Python, SQL, AI, Insurance, Finacial Services

Eames Consulting is acting as an Employment Agency in relation to this vacancy.