Senior Data Engineer (AWS) – Manchester
Summary
A senior data engineer who designs, builds, and maintains AWS data pipelines and ETL (Glue, Lambda, S3, Redshift, EMR) using Python, SQL, and PySpark. Day to day they enable real-time and BI data solutions, support cloud migration, ensure data quality, mentor junior engineers, and liaise with stakeholders.
In this role you will lead design, development, and maintenance of robust data pipelines and ETL processes on AWS. You will enable real-time data solutions, automate data workflows, and support BI initiatives, while contributing to cloud migration and architectural decisions. You’ll provide technical guidance to juniors and collaborate with stakeholders to ensure data quality and scalability. This is a high-impact opportunity at a prestigious tech brand with strong investment in training and career progression.
Pay / Benefits- Pension
- Benefits
- Career development opportunities
- Intensive training
- Career progression for top performers
- Design, develop, and maintain data pipelines and ETL processes using AWS services
- Develop real-time data solutions and improve automation
- Enable business intelligence through robust data architectures
- Contribute to cloud migration and architectural decisions
- Ensure data quality and integrity across systems
- Provide technical guidance to junior engineers
- Communicate with both technical and non-technical stakeholders
- Strong AWS proficiency with Glue, Lambda, S3, Redshift, and EMR
- Proven Python and SQL skills
- Experience with PySpark
- Knowledge of pipeline orchestration, data lakehouse, and data warehousing
- Agile experience and stakeholder communication skills
- Ability to own end-to-end data solutions and mentor juniors
- Excellent communication
- Stakeholder management
- Collaborative mindset
- AWS Glue
- AWS Lambda
- AWS S3