At a Glance
- Tasks: Build and maintain a cutting-edge data platform using AWS and Terraform.
- Company: Join Microlise, a tech leader supporting top UK retailers and logistics.
- Benefits: Enjoy flexible working, private health insurance, and 25+ days holiday.
- Other info: Great career growth opportunities in a supportive, forward-thinking team.
- Why this job: Make a real impact on innovative data and AI projects in a collaborative environment.
- Qualifications: 2-5 years in cloud engineering with hands-on AWS experience.
The predicted salary is between 45000 - 45000 £ per year.
Requirements
- 2-5 years experience in cloud engineering, Dev Ops or platform engineering
- Strong hands‑on experience with AWS
- Experience with Terraform and/or AWS CDK
- Exposure to CI/CD pipelines and deployment processes
- Understanding of cloud security basics, including IAM, secrets management and secure deployments
- Experience supporting production systems, monitoring and troubleshooting
- Strong problem‑solving mindset with an eye for detail
- Desirable: exposure to lakehouse concepts such as S3 and Iceberg
- Desirable: understanding of data architectures such as medallion
- Desirable: experience in multi‑account AWS environments
- Desirable: awareness of governance and working in regulated or data‑sensitive environments
Responsibilities
- Build and maintain platform components using Infrastructure as Code, including Terraform and AWS CDK
- Support CI/CD pipelines for data platforms and services
- Help deliver lakehouse, ingestion and data serving capabilities
- Apply security, compliance and governance controls across deployments
- Monitor platform health, logging and alerting, and resolve issues quickly
- Support cost optimisation and efficient resource usage
- Collaborate with Platform, Data Engineering and AI teams to improve ways of working
- Work closely with engineers and data teams to deliver reliable, secure and scalable solutions
- Build and run our AWS-based data platform
- Technologies
- AI
- AWS
- CI/CD
- Cloud
- Dev Ops
- IAM
- Support
- Security
- Terraform
- Mobile
- More
We are Microlise, a Midlands-based technology business operating for over thirty years and recently listed on the London Stock Exchange.
Our solutions support many of the UK’s leading grocery retailers and food logistics providers, as well as household names including JCB, Eddie Stobart, Carlsberg, Waitrose and Royal Mail.
We are hiring a Data Platform Engineer on a 12‑month fixed‑term contract to help develop and operate a modern, governed data platform powering analytics, AI and data‑driven decision making.
This is an immediate opportunity to make a real impact, work on cutting‑edge data and AI initiatives, and grow within a collaborative, forward‑thinking engineering environment.
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 wellbeing support, an Employee Assistance Programme, and a range of staff discounts and extras.
We are Great Place to Work certified and are committed to developing our people.
- last updated 25 week of 2026
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in England
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We think you need these skills to ace Data Platform Engineer in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
