Data Platform Engineer

Vocative Consulting; United Kingdom; Hybrid; GBP 55,000 - 60,000; Full time

Job summary

A consulting firm specializing in data engineering is seeking a Data Platform Engineer to create and maintain data pipelines used by diverse teams. Ideal candidates will have over 3 years of experience in data engineering and proficiency with Azure DevOps and Python. Responsibilities include building CI/CD pipelines, developing tools with Streamlit, and ensuring data quality. This role offers a salary up to £60,000 plus bonus and features a hybrid working model based in the UK.

Qualifications

• 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.

Responsibilities

• Design and build robust data pipelines using Azure Data Factory.
• Create and own CI/CD pipelines in Azure DevOps.
• Build internal tools and apps with Python and Streamlit.

Skills

Data engineering experience

CI/CD pipelines

Python

Streamlit

DevOps principles

Problem-solving skills

Tools

Azure Data Factory

Azure DevOps

REST APIs

Git

Job description

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

• 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