At a Glance
- Tasks: Build data foundations for customer-facing analytics and AI products using AWS.
- Company: Join Microlise, a leading tech company transforming logistics with innovative solutions.
- Benefits: Flexible working, private medical insurance, 25 days holiday, and professional development support.
- Other info: Great workplace culture with fun staff events and a commitment to employee well-being.
- Why this job: Make a real impact on data-driven products that enhance customer experiences.
- Qualifications: Experience in data engineering, SQL, Python, and building scalable data pipelines.
The predicted salary is between 56700 - 69300 £ per year.
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
- #J-18808-Ljbffr
Senior AWS Data Engineer in NG16, Langley Mill, Derbyshire employer: Energy Jobline CVL
Join a reputable contractor as a Gas Engineer in Newark-on-Trent, where you'll enjoy a supportive work culture and the stability of ongoing projects within social housing. With competitive pay, immediate start opportunities, and a focus on employee growth through consistent work, this role offers a meaningful chance to make a difference in the community while developing your skills in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Engineer in NG16, Langley Mill, Derbyshire
✨Tap into Online Data Science Communities
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We think you need these skills to ace Senior AWS Data Engineer in NG16, Langley Mill, Derbyshire
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Energy Jobline CVL, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Energy Jobline CVL, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Energy Jobline CVL’s attention and show the tangible impact of your work.
How to prepare for a job interview at Energy Jobline CVL
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Energy Jobline CVL.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Energy Jobline CVL.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Energy Jobline CVL.
