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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 opportunities for technical growth.
- Other info: Collaborative environment with a commitment to technical excellence.
- Why this job: Make a visible impact while enhancing your expertise in data engineering.
- Qualifications: Deep knowledge of Databricks, PySpark, Python, SQL, and DevOps practices.
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 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 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 Azure and Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PySpark and Azure Data Factory. 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. Be ready to discuss your experience with CI/CD pipelines and automated testing frameworks. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Lead Data Engineer Azure in Manchester
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 expertise in Databricks, PySpark, and Azure Data Factory to catch our eye!
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 showcase your technical leadership.
Showcase Your Technical Skills: In your application, don’t shy away from detailing your experience with CI/CD pipelines, automated testing, and monitoring tools. We love seeing candidates who can demonstrate their hands-on capabilities!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
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 guided others towards success.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world data platform 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.
✨Familiarise Yourself with Monitoring Tools
Since reliability is key, be prepared to discuss your experience with monitoring, logging, and alerting tools. Highlight any specific tools you've used and how they contributed to the success of your data platforms.