Senior AWS Data Engineer in NG16, Langley Mill, Derbyshire

Energy Jobline CVL; Langley Mill; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

37.5 hour week with flexible working

Great Place to Work certification

Private medical insurance

25 days holiday

Mental health support

Employee Assistance Programmes

Discounts and member benefits

Job summary

Microlise is seeking a Senior AWS Data Engineer for a 12-month fixed-term contract to build data foundations for customer analytics and AI products. You will work on a major cloud data platform programme, turning diverse data into trusted, reusable data products powering dashboards, APIs and self-service analytics.

You'll leverage AWS services, lakehouse architectures and governance-by-design patterns to ensure data is reliable, discoverable and secure, enabling impactful customer outcomes.

Qualifications

• Experience with SQL, dbt and Python, and building scalable pipelines and reusable datasets.
• Ability to mentor and coach team members to raise engineering quality.
• Experience delivering AI-ready data products and data contracts.
• Strong knowledge of data governance, metadata, lineage and data quality frameworks.
• Familiarity with lakehouse architecture and medallion patterns.

Responsibilities

• Design and build AWS-based data pipelines and lakehouse structures on AWS.
• Create reusable data products for dashboards, APIs and analytics.
• Embed governance-by-design: metadata, lineage, contracts and access controls.
• Contribute to observability, cost awareness and operational reliability.

Skills

SQL

dbt

Python

Data pipelines

Mentoring

Data governance

Tools

S3

Glue

Athena

Lake Formation

DMS

Step Functions

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 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.

• 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- 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

• 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.

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