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Noir Consulting

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Senior Data Engineer (AWS) – Manchester

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Summary

A senior data engineer who designs, builds, and maintains AWS-based data pipelines and ETL processes, drives cloud migration, and delivers lakehouse/warehousing and real-time data solutions while mentoring junior engineers. Core tech: AWS (Glue, Lambda, S3, Redshift, EMR), Python, SQL, PySpark.

Overview

In this role you will own the design, development, and maintenance of robust data pipelines and ETL processes using AWS. You will contribute to cloud migration and data architecture initiatives, enabling reliable data quality and real-time data solutions. You’ll collaborate with cross-functional teams and mentor junior engineers while shaping the company’s evolving data infrastructure. This opportunity combines hands-on engineering with strategic impact in a prestigious brand, with strong training and career progression.

Pay / Benefits
  • Pension
  • Benefits
  • Bonus
  • Career development
  • Training
  • Hybrid/On-site flexibility
Responsibilities
  • Design, develop and maintain data pipelines and ETL processes on AWS
  • Lead data integration efforts across platforms and enable real-time data solutions
  • Drive cloud migration and architectural improvements for data infrastructure
  • Ensure data quality and integrity and provide technical guidance to juniors
  • Collaborate with stakeholders and cross-functional teams to deliver data-driven insights
Key requirements
  • Strong AWS proficiency (Glue, Lambda, S3, Redshift, EMR)
  • Proven Python and SQL expertise
  • Experience with PySpark and pipeline orchestration
  • Background in data lakehouse and data warehousing
  • Agile experience and stakeholder communication skills
  • Ability to mentor junior engineers
  • strong communication
  • leadership
  • collaboration
  • 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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