At a Glance
- Tasks: Design and develop robust data pipelines using Azure and Databricks.
- Company: Join a forward-thinking Housing Association launching a new data platform.
- Benefits: Competitive salary of £50,000, flexible working, and great benefits package.
- Other info: Hybrid role with one day in the office; excellent growth opportunities.
- Why this job: Make a real impact on data usage and shape the future in a modern environment.
- Qualifications: Experience with ETL/ELT pipelines and cloud services, especially Azure and Databricks.
The predicted salary is between 50000 - 50000 € per year.
Are you a Data Engineer wanting to join a business early on in their new data platform launch? You’ll have the genuine ability to make a real impact at this Housing Association with a clear route to lead and architectural roles. If you’re a Data Engineer with some good technical grounding and now wanting to grow and learn, then this would be an excellent opportunity for you.
This is a hands-on data engineering role where you’ll be building and shaping how data works across the organisation. As Data Engineer, you’ll spend your time designing and developing robust pipelines across Azure (ADF, Synapse, Fabric), pulling data from multiple systems and turning it into something joined-up, usable, and genuinely valuable.
Alongside that, you’ll be working in Databricks (PySpark / SQL) to curate and refine data into well-structured datasets that the business can rely on. You’ll be responsible for making sure the data is right by building in validation, reconciliation, and quality checks as standard, so what’s delivered is trusted from day one. You’ll also take real ownership of how data flows across the platform, thinking about performance, reliability, and cost as part of everything you build.
The business is very proud of its engineering culture and mindset. You’ll be working with Git, code reviews, and CI/CD (Azure DevOps / GitHub) to also deliver changes across environments keeping things clean, controlled, and scalable as the platform grows.
This role sits right at the centre of how data is used, collaborating with BI analysts, engineers, and wider business teams to make sure data is accessible and actually drives decisions, not just reports, so you won’t be working in isolation.
Ultimately, this is a role for someone who wants to move beyond just building pipelines and start shaping the future state for data in a modern, cloud-based environment.
You would be an excellent fit as Data Engineer if you have:
- Designed, built, and managed ETL/ELT pipelines using data engineering cloud services using Azure Data Factory, Azure Synapse Analytics and/or Fabric pipelines
- Designed and orchestrated data curation pipelines/jobs with Databricks (PySpark/SQL)
- Handled Git with code review and branch protection and used CI/CD (Azure DevOps or GitHub Actions)
This is a hybrid role with one day a week in the office in Milton Keynes with flexibility. The salary is £50,000 with some flexibility depending on experience, alongside a good benefits package.
Data Engineer in Milton Keynes employer: Recruit with Purpose
Join a forward-thinking Housing Association as a Data Engineer and be part of an exciting new data platform launch. With a strong emphasis on engineering culture, you'll have the opportunity to make a significant impact while enjoying a supportive work environment that fosters growth and collaboration. The hybrid working model in Milton Keynes offers flexibility, and the competitive salary alongside a comprehensive benefits package makes this an attractive role for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the Housing Association. A friendly chat can give you insights and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your data engineering projects, make sure to share it. This is your chance to demonstrate your hands-on experience with Azure and Databricks.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss how you've designed ETL pipelines and handled data quality checks. We want to see your thought process and problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions, feel free to reach out to us directly – we’re here to help you land that Data Engineer role!
We think you need these skills to ace Data Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how you can make an impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background aligns with our engineering culture. Let us know what makes you tick as a Data Engineer.
Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your experience with ETL/ELT pipelines, Git, and CI/CD processes. We’re looking for someone who can hit the ground running, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Recruit with Purpose
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure Data Factory, Databricks, and CI/CD tools. Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This could involve discussing how you ensured data quality or optimised pipeline performance. Real-world scenarios will demonstrate your hands-on experience.
✨Understand the Business Impact
Research the Housing Association and think about how data can drive decisions within their organisation. Be ready to discuss how your work as a Data Engineer can contribute to their goals and improve their data-driven decision-making processes.
✨Collaborate and Communicate
Since this role involves working with various teams, practice articulating your thoughts clearly and concisely. Prepare to discuss how you’ve collaborated with BI analysts or other engineers in the past, highlighting your teamwork skills and ability to communicate technical concepts to non-technical stakeholders.
