At a Glance
- Tasks: Design and build data pipelines, transforming business needs into reliable datasets.
- Company: Join Microlise, a forward-thinking tech company making an impact in logistics.
- Benefits: Flexible hours, private medical insurance, and 25 days holiday plus perks.
- Other info: Great workplace culture with opportunities for professional development.
- Why this job: Shape data-driven decisions and work on projects that support AI and analytics.
- Qualifications: Experience in data engineering and strong collaboration skills required.
The predicted salary is between 60000 - 75000 £ per year.
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We are looking for a Senior Data Engineer to join our team on a 12-month fixed term contract, playing a key role in shaping how data drives decision-making across the business. You will be at the heart of building and managing trusted, high-quality data products, enabling analytics, AI, and operational teams to unlock real value. This is a great opportunity to work in a forward-thinking environment where data governance, innovation, and impact go hand in hand.
Be part of a team driving data-led transformation, work on meaningful projects that directly support AI and advanced analytics, and have the opportunity to influence how data is structured, governed and used across the business, all within a collaborative environment with a strong focus on quality, innovation and continuous improvement. If you’re passionate about data and want to make a real impact in a fast-paced, forward-thinking environment, we’d love to hear from you. Apply today and help us turn data into meaningful insight.
What You’ll Be Doing
- 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
What We’re Looking For
- 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
Why Microlise?
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. We offer a 37.5 hour week with flexible working opportunities, access to our salary sacrifice EV Car Scheme, private medical insurance with Vitality Health, 25 days holiday (excluding bank holidays), and many more benefits.
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.
Senior AWS Data Engineer (Fixed Term Contract) in Nottingham employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Engineer (Fixed Term Contract) in Nottingham
✨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 All The Top Bananas 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 All The Top Bananas.
✨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 All The Top Bananas.
We think you need these skills to ace Senior AWS Data Engineer (Fixed Term Contract) in Nottingham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at All The Top Bananas, 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 All The Top Bananas, 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 All The Top Bananas’s attention and show the tangible impact of your work.
How to prepare for a job interview at All The Top Bananas
✨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 All The Top Bananas.
✨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 All The Top Bananas.
✨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 All The Top Bananas.
