Senior Data Engineer (AWS) | £60,000 - £65,000 | North West (hybrid - 2/3 days onsite)
A fast-scaling, tech-forward company is looking for a
Senior Data Engineer
to take ownership of its AWS-based data platform — powering insights across ecommerce, fulfilment, and digital operations. This is a hands-on, high-impact role focused on building clean, scalable data pipelines and enabling smarter, faster decision-making across the business.
If you’re someone who loves system thinking, clean code, and solving real-world data problems — this is a chance to shape the foundation of a modern, analytics-driven company.
What You'll Be Doing
Designing and maintaining automated data pipelines using AWS (Glue, S3, Lambda, Step Functions, Athena).
Turning raw, messy data into
clean, reliable, query-ready datasets
used by commercial, operational, and marketing teams.
Defining and evolving the
data architecture
to support scale, cost-efficiency, and data quality.
Building validation layers, anomaly detection, and alerting to ensure
trustworthy, production-grade pipelines .
Working with infrastructure-as-code tools (e.g. CDK, Terraform) to manage data infrastructure securely and repeatably.
Driving
best practices in observability, documentation, and governance .
Supporting self-serve analytics teams with robust data foundations — not one-off SQL fixes.
Actively mentoring analysts and collaborating across product, tech, and operations.
What You’ll Bring
5+ years in data engineering or backend development focused on data platforms.
Strong hands-on experience with AWS services, especially
Glue, Athena, Lambda, and S3 .
Proficient in
Python (ideally PySpark)
and
modular SQL
for transformations and orchestration.
Solid grasp of data modeling (partitioning, file formats like Parquet, etc.).
Comfort with CI/CD, version control, and infrastructure-as-code tools.
If this sends like you then send your CV!
