Overview
As a Senior Data Engineer you will own the design, development and maintenance of robust data pipelines and ETL processes in AWS, enabling scalable analytics. You’ll help migrate to the cloud and shape the data landscape with lakehouse and warehousing solutions. You will support real-time data solutions, ensure data quality, and mentor junior engineers while partnering with stakeholders to drive data-informed decisions. This is a growth-focused role at a prestigious brand with strong training and progression.
Pay / Benefits
- Pension
- Benefits package
- Training and career development
- Career progression opportunities
Responsibilities
- Design, develop and maintain data pipelines and ETL processes using AWS services
- Build real-time data solutions and automate data workflows
- Drive cloud migration and architectural solutions
- Ensure data quality and integrity across platforms
- Mentor and guide junior engineers
- Collaborate with stakeholders to enable business intelligence and analytics
Key requirements
- Strong AWS proficiency (Glue, Lambda, S3, Redshift, EMR)
- Proficiency in Python and SQL
- Experience with PySpark and pipeline orchestration
- Knowledge of data lakehouse and data warehousing
- Agile experience
- Excellent communication with technical and non-technical stakeholders
- communication
- leadership/mentoring
- stakeholder engagement
- AWS Glue
- AWS Lambda
- AWS S3
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