Data Platform Engineer in Bristol

Data Platform Engineer

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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 xiskglj 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