At a Glance
- Tasks: Design and maintain data pipelines while creating reusable data products for analytics.
- Company: Join Microlise, a leading tech company with over 30 years of experience.
- Benefits: Enjoy flexible working, private medical insurance, and 25 days holiday plus bank holidays.
- Other info: Opportunity for professional development and career growth in a dynamic team.
- Why this job: Make an impact in a collaborative environment focused on innovation and data quality.
- Qualifications: Strong data engineering experience and ability to translate business needs into data solutions.
The predicted salary is between 55000 - 55000 £ per year.
Salary: £55,000 - 55,000 per year
Requirements:
- Strong experience in data engineering and pipeline development
- A solid understanding of data modelling, governance and quality frameworks
- Experience working with analytics or AI-ready datasets
- Ability to translate complex business requirements into structured data solutions
- A proactive, ownership-led mindset with strong stakeholder collaboration skills
Responsibilities:
- Designing, building and maintaining data pipelines and transformations
- Creating reusable, governed data products for analytics and AI teams
- Translating business needs into structured, reliable datasets and data models
- Owning the end-to-end lifecycle of data products from creation through to optimisation
- Applying and monitoring data quality, validation and governance standards
- Managing metadata, lineage, data contracts and compliance requirements
- Working closely with stakeholders to understand data usage, dependencies and impact
- Ensuring data products meet quality, performance and SLA expectations
Technologies:
- AI Support
- Mobile
We are Microlise, a Midlands-based company with over thirty years of experience, serving leading UK grocery retailers, food logistics providers, and well-known brands including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail. We are a publicly listed company on the London Stock Exchange and we are guided by a culture that shapes how we work, connect with customers, and support and develop our people. This is a 12-month fixed term contract for a Senior Data Engineer, offering a collaborative, forward-thinking environment focused on data governance, innovation, quality, and continuous improvement. We support professional development and offer a 37.5-hour week with flexible working opportunities, a salary sacrifice EV Car Scheme, private medical insurance with Vitality Health, 25 days holiday plus bank holidays increasing with service, wellbeing support, employee assistance programmes, and a range of staff discounts and extras.
Senior Data Engineer employer: Microlise
At Microlise, we pride ourselves on being an excellent employer, offering a collaborative and innovative work culture that prioritises professional development and employee wellbeing. Located in the Midlands, our team enjoys flexible working arrangements, comprehensive benefits including private medical insurance and a salary sacrifice EV Car Scheme, as well as opportunities for growth within a forward-thinking environment dedicated to data governance and quality.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Senior Data Engineer
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.
