| Description: |
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  |
