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Microlise

Senior AWS Data Engineer

Microlise Langley Mill
32 - 40 hour
new


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    Microlise

    Senior AWS Data Engineer

    Microlise Langley Mill
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    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 Office in Eastwood, Nottingham, for at least one of the interview stages.

    Why Microlise?

    When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof-of-purchase solutions has probably been used. Our solutions deliver value to many of the UK’s leading grocery retailers and food logistics providers as well as to household names including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail.

    Proudly Midlands-based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people.

    We believe in developing our staff and support our employees with their professional development goals
    37.5 hour week with flexible working opportunities
    Great Place to Work certified – We have been recognised by the global authority on workplace culture, so come be a part of our success!
    Private medical insurance with Vitality Health including rewards for members such as: Apple Watch, discounted gym membership and many more!
    25 days holiday, excluding bank holidays, increasing with service
    Invested in employee health and well-being with over 20 mental health first aiders in the business
    Employee Assistance Programmes
    Free Costco membership, 20% off EE mobile and line rental, and other discounts with Reward Gateway
    Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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