At a Glance
- Tasks: Design and operate our AWS-based data platform with a focus on security and performance.
- Company: Join Microlise, a leading tech company with over 30 years of experience.
- Benefits: Flexible working, private medical insurance, 25 days holiday, and EV car scheme.
- Other info: Collaborate with talented teams and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on analytics and AI in a modern cloud-native environment.
- Qualifications: Strong AWS, CI/CD, and SQL skills; experience in data-driven environments.
The predicted salary is between 55000 - 55000 £ per year.
Requirements
- Strong experience in platform engineering, cloud engineering or Dev Ops within data-driven environments
- Hands-on expertise in AWS, infrastructure as code, and CI/CD pipelines
- Experience building secure, scalable cloud environments
- A solid understanding of data platforms, pipelines, or analytics ecosystems
- A mindset focused on reliability, observability, and continuous improvement
- Technical skills in AWS compute, storage, IAM, and networking
- Experience with Terraform and/or AWS CDK
- Experience with CI/CD tooling and pipeline engineering
- Experience with observability, monitoring, and operational tooling
- Strong SQL skills and systems thinking
- Desirable: experience with lakehouse technologies such as S3 and Iceberg
- Desirable: experience in regulated or data-sensitive environments
- Desirable: exposure to multi-account or multi-tenant cloud architecture
Responsibilities
- Design, build, and operate our AWS-based data platform using infrastructure as code
- Create and manage CI/CD pipelines to enable safe, controlled deployments
- Support modern lakehouse architecture, ingestion, processing, and data serving layers
- Embed security, governance, and compliance controls across the platform
- Drive platform observability, monitoring, and performance optimisation
- Own aspects of cost management (Fin Ops) and platform efficiency
- Collaborate with Data Engineers and Analytics & AI teams to deliver trusted data products
- Technologies
- AI
- AWS
- CI/CD
- Cloud
- Dev Ops
- IAM
- Support
- SQL
- Security
- Terraform
- Mobile
- More
We are Microlise, a Midlands-based company with over thirty years of experience, recently listed on the London Stock Exchange.
Our software, telematics, and proof-of-purchase solutions support leading UK grocery retailers, food logistics providers, and well-known brands including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail.
This is a 12-month fixed term contract to join our Microlise One Analytics & AI platform and help shape a secure, scalable, governed data ecosystem that powers analytics, AI, and business‑critical insights across the organisation.
You will work on a modern, cloud‑native platform with real business impact, collaborating across engineering and data teams.
We 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, employee well‑being support, discounts and perks, and a culture focused on development and support.
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StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Platform Engineer in England
✨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.
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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 AWS Data Platform Engineer in England
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.
