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# Senior AWS Data Engineer

- **Company:** Microlise
- **Location:** Langley Mill, UK
- **Experience:** Expert
- **Salary:** £55,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Data Systems, Metadata, Usage Tracking, AWS Data Analytics, Data Pipelines
- **Published:** July 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2857091473-2

## About the Role

* Strong experience in data engineering and pipeline development
 * A solid understanding of data modelling, governance and quality frameworks
 * Experience working with analytics or AI-ready datasets
 * Ability to translate complex business requirements into structured data solutions
 * A proactive, ownership-led mindset with strong stakeholder collaboration skills

## Description

We re looking for a Senior Data Engineer to join our team on a 12-month fixed term contract, playing a key role in shaping how data drives decision-making across the business.

You ll be at the heart of building and managing trusted, high-quality data products, enabling analytics, AI, and operational teams to unlock real value. This is a great opportunity to work in a forward-thinking environment where data governance, innovation, and impact go hand in hand.

Be part of a team driving data-led transformation, work on meaningful projects that directly support AI and advanced analytics, and have the opportunity to influence how data is structured, governed and used across the business, all within a collaborative environment with a strong focus on quality, innovation and continuous improvement.

If you re passionate about data and want to make a real impact in a fast-paced, forward-thinking environment, we d love to hear from you. Apply today and help us turn data into meaningful insight.

What You ll Be Doing

 * Designing, building and maintaining data pipelines and transformations
 * Creating reusable, governed data products for analytics and AI teams
 * Translating business needs into structured, reliable datasets and data models
 * Owning the end-to-end lifecycle of data products (from creation through to optimisation)
 * Applying and monitoring data quality, validation and governance standards
 * Managing metadata, lineage, data contracts and compliance requirements
 * Working closely with stakeholders to understand data usage, dependencies and impact
 * Ensuring data products meet quality, performance and SLA expectations


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