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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: Competitive salary, comprehensive benefits, flexible remote work, and annual pay reviews.
- Why this job: Shape platform strategy and drive AI initiatives in a collaborative team.
- Qualifications: Experience in Azure, Databricks, PySpark, and strong DevOps skills required.
- Other info: 35-hour work week promoting genuine work-life balance and career growth opportunities.
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 Warrington employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer in Warrington
✨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 friendly chat can lead to referrals or insider info about job openings.
✨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. Practice common interview questions related to data platforms and be ready to discuss your past experiences in detail.
✨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 Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platform engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise. Mention your proficiency in PySpark, SQL, and any DevOps practices you’ve implemented. We’re looking for those standout skills that make you a great fit!
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 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 platform, but that you can truly lead and innovate within it.
✨Showcase Your DevOps Skills
Since this role heavily involves DevOps practices, prepare 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.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems related to PySpark, SQL, and Azure Data Factory. Being able to solve these on the spot will highlight your proficiency and problem-solving skills, which are crucial for this position.
✨Emphasise Collaboration and Leadership
This role requires working closely with various teams, so be prepared to discuss your experience in stakeholder management and leading projects. Share specific examples of how you've influenced engineering direction and collaborated with data engineers and ML engineers to deliver successful outcomes.
