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- Tasks: Lead the design and optimisation of a cutting-edge Azure Databricks platform.
- Company: Established organisation with a strong engineering culture and collaborative team.
- Benefits: Competitive salary, flexible remote work, and a focus on work-life balance.
- Other info: Join a supportive team committed to technical excellence and career development.
- Why this job: Make a real impact in a modern data environment while growing your technical skills.
- Qualifications: Experience with Azure, Databricks, and strong leadership abilities.
The predicted salary is between 85000 - 85000 £ per year.
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale.
THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise.
THE ROLE: You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end-to-end data platform solutions.
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
Lead Data Platform Engineer (Azure & Databricks) employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer (Azure & Databricks)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Azure and Databricks. We want to see your projects, especially those that highlight your ability to design and optimise data platforms. This will make you stand out in interviews!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Databricks and Azure knowledge. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your expertise, the better!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application process. Plus, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Lead Data Platform Engineer (Azure & Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Platform Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data platforms and how your background makes you a perfect fit for this role. Be sure to mention specific technologies and experiences that relate to the job description.
Showcase Your Technical Skills: In your application, don’t shy away from showcasing your technical prowess. Mention your experience with Databricks, PySpark, and Azure Data Factory. We love seeing candidates who can demonstrate their hands-on experience with these tools!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and the tools mentioned in the job description. Brush up on your knowledge of PySpark, Spark SQL, and Azure Data Factory. Being able to discuss specific projects or challenges you've faced with these technologies will show your expertise.
✨Showcase Your Leadership Skills
Since this role involves taking ownership and providing technical leadership, prepare examples that highlight your experience in leading projects or teams. Think about times when you’ve driven initiatives or mentored others, as this will demonstrate your ability to lead within a collaborative environment.
✨Understand the Company Culture
Research the company’s engineering culture and values. Be ready to discuss how your personal work ethic aligns with their commitment to technical excellence and positive work-life balance. This shows that you’re not just a fit for the role, but also for the team.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data platform initiatives, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.