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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 working, and a commitment to work-life balance.
- Other info: Join a supportive environment with opportunities for technical excellence.
- Why this job: Make a visible impact while growing your expertise in data engineering.
- Qualifications: Experience in Databricks, Azure, and data platform solutions.
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 is 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 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 Engineer (Azure & Databricks)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data engineering, especially with Azure and Databricks. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, particularly around building scalable solutions in cloud environments.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Lead Data 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 Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how you can contribute to our modern data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your collaborative spirit and commitment to technical excellence – we love that!
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise in Databricks, PySpark, and Azure Data Factory. We’re looking for someone who can take ownership of our data platform, so let us know how you’ve done this in the past!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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 technical leadership, be prepared to share examples of how you've led teams or projects in the past. Highlight your ability to collaborate with engineers and stakeholders, and discuss how you’ve driven initiatives to success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve encountered while designing or optimising data platforms and how you overcame them. This will demonstrate your practical experience and critical thinking.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s engineering culture or future data initiatives. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.