Overview
In this Senior Data Engineer role, you will own the design, development, and maintenance of robust data pipelines and ETL processes using AWS. You will shape the company’s data infrastructure, supporting cloud migration and architectural solutions while ensuring data quality. You will collaborate with cross-functional teams to enable real-time data solutions and data-driven decision making. This position offers exposure to a prestigious brand, strong training, and clear career progression for high performers.
Pay / Benefits
- Pension
- Benefits
- Training and career development
- Unlimited career progression for top performers
Responsibilities
- Design and maintain robust data pipelines and ETL processes
- Develop real-time data solutions and automate data workflows
- Drive cloud migration efforts and implement architectural solutions
- Ensure data quality and integrity across systems
- Provide technical guidance and mentorship to junior engineers
- Collaborate with stakeholders to enable business intelligence and data-driven insights
Key requirements
- Strong AWS proficiency (Glue, Lambda, S3, Redshift, Amazon EMR)
- Proven experience with Python and SQL
- Experience with PySpark and pipeline orchestration
- Knowledge of data lakehouse architectures and data warehousing
- Agile experience and ability to work with cross-functional teams
- Excellent communication skills with technical and non-technical stakeholders
- communication
- stakeholder management
- mentoring/junior guidance
- AWS Glue
- AWS Lambda
- AWS S3
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