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- Tasks: Design and build robust data pipelines and tools that make data useful.
- Company: Join a forward-thinking company focused on impactful data solutions.
- Benefits: Up to £60,000 salary, bonuses, and standout benefits.
- Why this job: Shape the future of data engineering and work with cutting-edge technologies.
- Qualifications: 3+ years in data engineering, strong Azure DevOps and Python skills.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
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.
Data Platform Engineer employer: Vocative
Contact Detail:
Vocative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Python. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Platform Engineer. Highlight your experience with Azure DevOps, Python, and any relevant projects that showcase your skills in building data pipelines and applications.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've turned messy data into reliable platforms and how you’ve applied DevOps principles in your previous roles.
Showcase Your Projects: If you've worked on any personal or professional projects that involve data processing, CI/CD pipelines, or API integrations, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Vocative
✨Know Your Tech Stack
Make sure you’re well-versed in Azure DevOps, Python, and Streamlit. Brush up on your experience with CI/CD pipelines and data processing. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or improved system reliability in past roles. Companies love candidates who can demonstrate their analytical thinking and ability to troubleshoot effectively.
✨Understand the Bigger Picture
Familiarise yourself with the company’s data ecosystem and how your role as a Data Platform Engineer fits into it. Be ready to discuss how you would design robust data pipelines and collaborate with other teams to turn requirements into scalable solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
