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- Tasks: Lead the evolution of a modern data platform using Databricks and Azure.
- Company: Established organisation with a strong engineering culture and focus on data.
- Benefits: Flexible working, positive work-life balance, and commitment to technical excellence.
- Other info: Opportunity for career growth and collaboration with engineers across the business.
- Why this job: Make a visible impact while growing your expertise in a dynamic environment.
- Qualifications: Deep expertise in Databricks, PySpark, Python, SQL, and strong DevOps skills.
The predicted salary is between 70000 - 90000 £ per year.
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale.
This client is a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. 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.
You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
- Designing end-to-end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory
- Creating and maintaining CI/CD pipelines and automated testing frameworks
- Implementing monitoring, logging and alerting for platform reliability
- Deep expertise in Databricks, PySpark, Python and SQL
- Strong DevOps capabilities, including CI/CD and automated testing
- Familiarity with monitoring, logging and alerting tools
- Experience with APIs and data integration methods
- Azure Data Factory experience is beneficial
Lead Data Engineer (SQL, Azure) in Manchester 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 (SQL, Azure) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or Azure. 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 showcasing your projects, especially those involving PySpark and SQL. 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 common data engineering scenarios. Be ready to discuss how you've implemented CI/CD pipelines or tackled data integration challenges. We want to see your 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer (SQL, Azure) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your expertise in Databricks, PySpark, and Azure Data Factory to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past projects that demonstrate your technical leadership and problem-solving skills.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include details about your experience with CI/CD pipelines, automated testing, and any monitoring tools you've used. We want to see how you can drive our data platform initiatives.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Databricks, PySpark, and Azure Data Factory. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves providing technical leadership, prepare examples that demonstrate your ability to lead teams and initiatives. Think about times when you took ownership of a project and how you motivated others to achieve success.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world data engineering challenges. Practice articulating your thought process for designing end-to-end solutions and implementing CI/CD pipelines, as this will show your problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data platform and future initiatives. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.