Senior Data Engineer (AWS) – Manchester
Summary
Lead the design, development and maintenance of scalable data pipelines and ETL processes on AWS, building real-time integrations, supporting cloud migration and ensuring data quality, while mentoring junior engineers and working with stakeholders on BI needs. Core stack: AWS (Glue, Lambda, S3, Redshift, EMR), Python, SQL, PySpark.
In this role you will lead the design, development and maintenance of scalable data pipelines and ETL processes on AWS. You’ll drive data integrations, real-time data solutions and support cloud migration while ensuring data quality. You will guide junior engineers and collaborate with cross-functional stakeholders to enable effective BI and data-driven decisions. This is an opportunity to shape a global brand’s data infrastructure and accelerate career growth.
Pay / Benefits- pension
- benefits
- training and career development
- unlimited career progression
- Design, develop and maintain robust data pipelines and ETL processes using AWS services
- Build data integrations across platforms and enable real-time data solutions
- Contribute to cloud migration and architectural decisions
- Ensure data quality and integrity across data stores
- Provide technical guidance and mentoring to junior engineers
- Collaborate with stakeholders to translate business needs into data solutions
- Strong AWS proficiency with AWS Glue, Lambda, S3, Redshift and EMR
- Proven Python, SQL and PySpark skills
- Experience with data lakehouse and data warehousing architectures
- Experience with pipeline orchestration and Agile methodologies
- Excellent communication skills with technical and non-technical stakeholders
- strong communication
- stakeholder collaboration
- team leadership or mentoring
- AWS Glue
- AWS Lambda
- AWS S3