At a Glance
- Tasks: Build and maintain data pipelines, ensuring reliable data for analytics and AI.
- Company: Join Microlise, a leading tech company transforming logistics with innovative solutions.
- Benefits: Flexible working, private medical insurance, and 25 days holiday plus perks.
- Other info: Great workplace culture with opportunities for professional development.
- Why this job: Make an immediate impact in a high-growth Analytics & AI environment.
- Qualifications: Experience in SQL, data modelling, and a collaborative mindset.
We’re on the lookout for a Data Engineer to join us on a 12-month fixed-term contract to support a critical phase of our Analytics & AI platform journey. This is a fantastic opportunity to make an immediate impact, shaping how data is structured, governed and delivered across the business - enabling smarter decisions, better products, and real innovation.
As a Data Engineer, you’ll play a key role in building and maintaining high-quality data pipelines and curated datasets that power analytics, AI, and operational decision-making. You’ll work closely with stakeholders to translate business needs into trusted, scalable data products, ensuring data is reliable, governed and ready for use across the organisation.
What You’ll Be Doing
- Build and maintain robust data pipelines and transformations
- Create curated, analytics-ready datasets aligned to business logic
- Translate business requirements into data structures and reusable models
- Apply and monitor data quality checks and validation rules
- Support data governance, metadata and lineage standards
- Collaborate with stakeholders to understand data usage and requirements
- Deliver datasets that directly support Analytics & AI teams
What We’re Looking For
- Strong experience building SQL-based pipelines and transformations
- Solid understanding of data modelling and structured datasets
- Experience working with data quality, governance, or metadata concepts
- A collaborative mindset with the ability to translate business needs into data solutions
- Someone who thrives in a fast-paced, delivery-focused environment
Why Join Now?
- Immediate impact – this is a priority hire supporting critical delivery
- Be part of a high-growth Analytics & AI capability
- Work on modern data platforms and product-driven architecture
- Opportunity to shape data products end-to-end
Why Microlise?
- We believe in developing our staff and support our employees with their professional development goals
- 37.5 hour week with flexible working opportunities
- Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment!
- 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: Free Amazon Prime, 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 local discounts
- Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards
- Free Microlise Cresswell Racing Tickets, support British Superbikes
- Executive Box at Motorpoint Arena Nottingham
Recruitment Process
For successful candidates, interviews will take place whilst the advert is still live, via telephone and video conferencing; so don’t delay getting your application in!
Recruitment Agencies
Whilst we make every effort to directly source candidates for our live roles, we do have a very small preferred supplier list on the occasion we may require additional support. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Managers.
Data Engineer (Fixed Term Contract) employer: Microlise
Microlise is an exceptional employer, offering a dynamic work environment where Data Engineers can make an immediate impact on our Analytics & AI platform journey. With a strong commitment to employee development, flexible working hours, and a culture that prioritises well-being, we provide numerous benefits including private medical insurance, generous holiday allowances, and unique perks like free racing tickets. Join us in the Midlands and be part of a growing, publicly listed company that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Fixed Term Contract)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Microlise before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Microlise.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Microlise.
We think you need these skills to ace Data Engineer (Fixed Term Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Microlise, 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 Microlise, 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 Microlise’s attention and show the tangible impact of your work.
How to prepare for a job interview at Microlise
✨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 Microlise.
✨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 Microlise.
✨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 Microlise.
