Senior Data Engineer (AWS) – Manchester
Senior Data Engineer who designs and builds AWS-based data pipelines and ETL, real-time data solutions, and cloud migration/architecture work for a major brand in Manchester, while mentoring junior engineers and enabling BI. Core stack: AWS Glue, Lambda, S3, Redshift, EMR, Python, SQL, PySpark.
- Compensation
- Not disclosed
- Location
- Manchester, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proven expertise with AWS services (Glue, Lambda, S3, Redshift, Amazon EMR)
- Strong Python and SQL skills
- Experience with PySpark and data pipeline orchestration
- Background in data warehousing and data lakehouse architectures
- Agile experience
- Strong communication and stakeholder management skills
- Ability to take ownership of end-to-end data solutions
- Mentorship or leadership potential
- Collaboration
Full description
Overview
In this role you will design and build robust data pipelines and ETL processes on AWS, supporting real-time data solutions and data quality. You’ll contribute to cloud migration and architecture work while guiding junior engineers. You’ll collaborate with cross-functional partners to enable business intelligence and scalable data platforms. This is a chance to shape a prestigious brand’s data infrastructure and advance your career through strong training and progression.
Pay / Benefits
- Pension
- Benefits
- training and career development
- career progression
- perks
Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using AWS services
- Contribute to cloud migration and architectural solutions
- Ensure data quality and integrity across platforms
- Develop real-time data solutions and automation to improve BI
- Provide technical guidance to junior engineers
- Collaborate with technical and non-technical stakeholders
Key requirements
- Proven expertise with AWS services (Glue, Lambda, S3, Redshift, Amazon EMR)
- Strong Python and SQL skills
- Experience with PySpark and data pipeline orchestration
- Background in data warehousing and data lakehouse architectures
- Agile experience
- Strong communication and stakeholder management skills
- Ability to take ownership of end-to-end data solutions
- strong communication
- collaboration
- mentorship or leadership potential
- AWS Glue
- AWS Lambda
- AWS S3