Job Description
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!