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 DoingYou won’t just maintain systems — you’ll shape them.
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Designing and building robust data pipelines using Azure Data Factory, integrating external APIs and orchestrating data flows into the platform
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Creating and owning CI/CD pipelines in Azure DevOps, automating deployment, testing, and delivery
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Building internal tools and apps with Python and Streamlit to support data and engineering teams
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Developing and maintaining APIs to enable 3rd-party data access and platform integration
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Implementing monitoring, logging, and alerting to ensure reliability, performance, and data quality
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Collaborating closely with data analysts, data scientists, and engineers to turn requirements into scalable solutions
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Documenting designs, processes, and best practices to keep everything running smoothly
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3+ years’ experience in data engineering, platform engineering, or similar roles
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Strong experience with Azure DevOps, including building and maintaining CI/CD pipelines
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Solid Python skills for data processing and automation
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Experience building applications with Streamlit
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A good grasp of DevOps principles — automation, IaC, CI/CD
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A sharp eye for data quality, reliability, and problem-solving
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Hands-on experience with Azure Data Factory
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Experience building and maintaining REST APIs
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Working with external data sources and API integrations
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Broader experience across Azure services
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Knowledge of data governance and security best practices
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Cloud: Azure
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DevOps: Azure DevOps, CI/CD pipelines
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Languages: Python, SQL
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Tools: Streamlit, Git