Senior AWS Data Engineer

Microlise · Nottingham, England ·

Full-time
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Join Microlise as a Senior AWS Data Engineer on a 12-month fixed term contract and help build the data foundations behind the next generation of customer-facing analytics and AI products. This is a hands-on engineering role in a major cloud data platform programme, where you'll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services.

You'll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns to create data that is reliable, discoverable, secure and ready for real customer impact. If you enjoy building robust data platforms, solving complex integration problems and shaping how data enables better products, this is an opportunity to do meaningful engineering work that will be reused across the Microlise product portfolio.

What You'll Be Doing Make a visible impact on customer-facing analytics and AI Microlise is investing in an Analytics and AI platform that connects data across multiple complex operational systems and third-party sources.

Your work will help make that data trusted, governed and easy to reuse, enabling faster analytics delivery, richer customer insights, API-driven data services and future AI capabilities. The pipelines, models and governance patterns you build won't sit in the background.

They will directly influence how data is trusted, shared and turned into value for customers and internal teams. Start by building something customers will use Your first focus will be working on a greenfield AWS Analytics and AI platform Establishing reusable engineering patterns for future products.

Build AWS lakehouse pipelines using services such as S3, Glue, Athena, Lake Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage, metadata, and access controls from the start Build, shape and scale a modern AWS data platform You'll be part ...

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