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For Companies At a Glance
- Tasks: Lead and optimise a modern Databricks Lakehouse environment for scalable data solutions.
- Company: Established organisation with a people-first culture and a focus on innovation.
- Benefits: Salary up to £85,000, flexible working, and comprehensive benefits package.
- Why this job: Shape platform strategy and drive AI initiatives in a collaborative team.
- Qualifications: Experience in Azure, Databricks, and strong DevOps skills required.
- Other info: Enjoy a 35-hour work week promoting genuine work-life balance.
The predicted salary is between 80000 - 85000 £ per year.
This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function.
The Company
They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement.
The Role
As Lead Data Platform Engineer, you will:
- Develop and deploy Databricks Lakehouse platform solutions within Azure.
- Build and maintain automation for clusters, tagging, monitoring and platform operations.
- Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability.
- Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Drive DevOps best practices including CI/CD, automated testing and infrastructure as code.
- Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities.
- Take ownership of key data platform projects and influence engineering direction.
- Provide technical leadership and ensure standards, patterns and best practices are followed.
Your Skills and Experience
You will bring:
- Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture.
- Proficiency in PySpark, Python, SQL and Spark SQL.
- Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines.
- Experience with monitoring, logging and alerting solutions.
- Ability to design, build and optimise cloud platform solutions.
- Stakeholder management skills and confidence working across multiple teams.
- API development experience.
- Azure Data Factory knowledge is beneficial.
What They Offer
- Salary between £80,000 and £85,000 plus bonus.
- Comprehensive benefits package and annual pay review.
- Flexible by choice working environment with remote‑first culture.
- 35‑hour working week promoting genuine work‑life balance.
- Opportunities to shape platform strategy and contribute to future AI and automation initiatives.
How to Apply
If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.
Lead Data Platform Engineer in Milton Keynes employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD, automated testing, and how you've driven engineering best practices in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Platform Engineer in Milton Keynes
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Azure and Databricks in your application. We want to see how you've used these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Use keywords from the job description, like 'DevOps best practices' and 'scalability', to show us you’re the perfect fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience at a glance.
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 this exciting opportunity!
How to prepare for a job interview at Harnham
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with Lakehouse architecture and how you've implemented it in past projects. This will show that you’re not just familiar with the technology, but that you can also apply it effectively.
✨Showcase Your DevOps Skills
Since this role heavily involves DevOps practices, be prepared to talk about your experience with CI/CD, automated testing, and infrastructure as code. Bring examples of how you've improved automation in previous roles, as this will demonstrate your ability to drive engineering best practices.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially data engineers and ML engineers. Share specific instances where your collaboration led to successful project outcomes. This will illustrate your ability to work within a team and influence engineering direction.
✨Prepare Questions About Their Culture
Since the company values a people-first culture, come prepared with questions about their approach to colleague development and flexible working. This shows that you’re genuinely interested in their work environment and aligns with their values, making you a more attractive candidate.
