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