Data Platform Engineer
Bristol | Hybrid (50:50)
Up to £60,000 + bonus & standout benefits
Build the data backbone that powers real impact!
We’re on the hunt for a Data Platform Engineer who loves turning messy, complex data into reliable, scalable platforms. You’ll sit at the heart of our client’s data ecosystem — designing pipelines, automating deployments, and building tools that make data genuinely useful.
If you enjoy working end-to-end, owning what you build, and applying modern DevOps thinking to data engineering, this one’s for you.
What You’ll Be Doing
You won’t just maintain systems — you’ll shape them.
Designing and building robust data pipelines using Azure Data Factory, integrating external APIs and orchestrating data flows into the platform
Creating and owning CI/CD pipelines in Azure DevOps, automating deployment, testing, and delivery
Building internal tools and apps with Python and Streamlit to support data and engineering teams
Developing and maintaining APIs to enable 3rd-party data access and platform integration
Implementing monitoring, logging, and alerting to ensure reliability, performance, and data quality
Collaborating closely with data analysts, data scientists, and engineers to turn requirements into scalable solutions
Documenting designs, processes, and best practices to keep everything running smoothly
What We’re Looking For
Must-Have Skills
3+ years’ experience in data engineering, platform engineering, or similar roles
Strong experience with Azure DevOps, including building and maintaining CI/CD pipelines
Solid Python skills for data processing and automation
Experience building applications with Streamlit
A good grasp of DevOps principles — automation, IaC, CI/CD
A sharp eye for data quality, reliability, and problem-solving
Nice-to-Haves (Not Deal Breakers)
Hands-on experience with Azure Data Factory
Experience building and maintaining REST APIs
Working with external data sources and API integrations
Broader experience across Azure services
Knowledge of data governance and security best practices
Tech Stack You’ll Work With
Cloud: Azure
DevOps: Azure DevOps, CI/CD pipelines
Languages: Python, SQL
Tools: Streamlit, Git