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- Tasks: Transform messy data into reliable platforms and design robust data pipelines.
- Company: Innovative tech company in Bristol with a hybrid work culture.
- Benefits: Up to £60,000 salary, bonus, and standout benefits.
- Why this job: Make a real impact by shaping the data ecosystem and collaborating with talented teams.
- Qualifications: 3+ years in data engineering, strong Azure DevOps and Python skills.
- Other info: Dynamic role with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
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
Data Platform Engineer employer: Vocative Consulting
Contact Detail:
Vocative Consulting 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 on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure DevOps and Python. It’s a great way to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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!
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Platform Engineer role. Highlight your experience with Azure DevOps, Python, and any relevant projects you've worked on. We want to see how you can turn messy data into something useful!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share why you're excited about this role and how your background aligns with our needs. Don’t forget to mention your love for building scalable platforms!
Showcase Your Projects: If you've built any data pipelines or applications, make sure to include them in your application. We love seeing real examples of your work, especially if they involve Azure Data Factory or Streamlit. It gives us a taste of what you can bring to the team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Vocative Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure DevOps and Python. Brush up on your experience with CI/CD pipelines and be ready to discuss specific projects where you've implemented these tools.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or improved system reliability in past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Data Ecosystem
Research the company’s data practices and any recent projects they’ve undertaken. This will help you tailor your responses and demonstrate your genuine interest in how you can contribute to their data platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to data governance. This shows that you’re not just interested in the role but also in how you can fit into their culture and processes.
