Data Engineer

This role represents an exciting opportunity for a high-performing Data Engineer to help shape and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building, and maintaining modern data infrastructure that powers insight-led decision-making across the business.

Working within a small, supportive team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact.

Key Responsibilities

  • Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena).
  • Integrate new data sources and continuously optimise performance and cost efficiency.
  • Ensure data quality, integrity, and security across all systems.
  • Maintain clear documentation for data processes and pipelines.
  • Partner with analysts, data scientists, and product teams to translate requirements into reliable technical solutions.
  • Contribute to agile ceremonies, ensuring effective and timely delivery.
  • Communicate technical ideas clearly to both technical and non-technical audiences.
  • Support discussions on data architecture and scalability.
  • Apply best practices around data governance, lineage, and documentation.
  • Monitor and troubleshoot data pipelines, resolving issues efficiently.
  • Stay up to date with new tools and trends in data engineering, particularly within the AWS ecosystem.

Skills & Experience

  • Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena).
  • Skilled in Airflow for workflow orchestration.
  • Advanced SQL and proficient in Python for data engineering.
  • Experience with data modelling (e.g. dimensional) and familiarity with NoSQL databases (e.g. Elasticsearch).
  • Confident using Git and CI/CD pipelines.
  • Solid understanding of data governance, quality assurance, and security principles.
  • Practical problem-solver with a focus on scalable, efficient solutions.

Return

  • Competitive salary (£45,000–£55,000)
  • Hybrid working – 2 days a week in the Staffordshire HQ
  • A collaborative culture built on trust, flexibility, and inclusion
  • Opportunities to grow, learn, and make a genuine difference

You must have the legal right to work in the UK — visa sponsorship cannot be provided.

Company
MSA Data Analytics Ltd
Location
Staffordshire, England, United Kingdom
Hybrid / WFH Options
Employment Type
Full-Time
Salary
£45,000 - £55,000 per annum
Posted
Company
MSA Data Analytics Ltd
Location
Staffordshire, England, United Kingdom
Hybrid / WFH Options
Employment Type
Full-Time
Salary
£45,000 - £55,000 per annum
Posted