Data Platform Engineer

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