Senior Data Engineer
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Role details
Tech stack
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Requirements
The Senior Data Engineer must be an experience data professional with in-depth skills on AWS Cloud architecture, AWS data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune). Must have knowledge on data modelling techniques, including dimensional models and conformed datasets. As the role is to engage both business and technical stakeholders, the individual must have clear and adequate communication with different stakeholders at the various levels of seniority.
Knowledge and Experience-Essential
- AWS Glue ETL
- AWS Glue Data Quality
- AWS Lambda
- AWS Lake Formation
- Medallion Architecture based ETL processes using S3, Iceberg and Athena
- Azure DevOps/AWS CodeCommit/AWS CodePipeline
- AWS Step functions
- Athena SQL; Spark SQL; Python
- AWS CLI
- Release management (CI/CD)
Knowledge and Experience - desirable
- AWS Databrew
- AWS RDS/Redshift
- AWS Macie
- AWS CloudWatch
- AWS Quick
- AWS Sagemaker (Unified Studio and AI)
- Power BI
About the company
Bath -Hybrid 03 days per week onsite - £350 per day all inc. through FCSA Umbrella. Contract Posted by: eTeam Workforce Limited Posted: Friday, 5 June 2026
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
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