Senior AWS Data Engineer

Location: Langley Mill

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 of the team turning platform strategy into working, production-ready data capabilities
Design, build and optimise cloud-native data pipelines, lakehouse structures and reusable data products on AWS
Use lakehouse and medallion architecture concepts to move data from raw ingestion through to curated, business-ready products
Create resilient data transformations that support reliable customer-facing analytics
Embed governance by design, including metadata, lineage, data contracts, access controls and tenant-aware data handling
Support product-level observability, performance optimisation, cost awareness and operational reliability
What We’re Looking For

Bring the skills to turn data into trusted products

We’re looking for someone who has at least 2 years’ experience developing data pipelines on AWS.
Able to act as a mentor and coach to others within the team.
Someone who can bring a passion for data, SQL, dbt and Python, with experience building scalable pipelines, transformations and reusable datasets
Engages data engineering delivery with curiosity and ownership.
Someone who builds in data contracts, metadata, lineage, and data quality as part of the data flow process.

Experience with AI-ready data products would be highly valuable.
Good understanding of lakehouse architecture, medallion patterns, data modelling, data quality, and data governance.
Recruitment Process

For successful candidates, interviews will take place whilst the advert is still live, via telephone, in person and video conferencing; so don’t delay getting your application in!

As part of the Microlise interview process, you’ll need to attend an in-person interview at our Head…