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Noir Consulting

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Senior Data Engineer (AWS) – Manchester

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Summary

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.

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

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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