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- Tasks: Lead a high-impact data engineering team and drive transformation in healthcare.
- Company: Leading data solutions provider in London with a mission-driven focus.
- Benefits: Competitive salary of £115,000 plus bonus and hybrid work flexibility.
- Why this job: Shape the future of data engineering while making a real difference in healthcare.
- Qualifications: Experience in Azure, Spark, Python, and team management skills.
- Other info: Join a dynamic environment with opportunities for impactful work.
The predicted salary is between 69000 - 83000 £ per year.
A leading data solutions provider in London is looking for a Head of Data Engineering (FTC) to lead a high-impact data engineering function. The ideal candidate will drive data-driven transformation in healthcare, manage a team, and develop scalable solutions using Azure, Spark, and Python. This hybrid role offers a competitive salary of £115,000 plus bonus, and is pivotal in shaping the future of data engineering in a mission-driven environment.
Head of Data Engineering – Hybrid, Azure & Big Data Leader in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering – Hybrid, Azure & Big Data Leader in London
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work with Azure and Big Data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects using Azure, Spark, and Python. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on how you've driven data-driven transformations in past roles to align with what they're looking for.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our mission-driven team.
We think you need these skills to ace Head of Data Engineering – Hybrid, Azure & Big Data Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Spark, and Python. We want to see how you've driven data-driven transformations in your previous roles, especially in healthcare.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can lead our team to success. Be sure to mention any relevant leadership experience.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to develop scalable solutions. Numbers and results speak volumes, so don’t hold back!
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 this exciting opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Spark, and Python. Brush up on your technical skills and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Leadership Experience
As a Head of Data Engineering, you'll need to manage a team. Prepare examples of how you've led teams in the past, focusing on your approach to mentoring, conflict resolution, and driving data-driven transformation. Highlight any successful projects where your leadership made a difference.
✨Understand the Healthcare Sector
Since this role is pivotal in healthcare, do your homework on current trends and challenges in the industry. Be ready to discuss how data engineering can address these issues and improve patient outcomes. This will demonstrate your commitment to the mission-driven environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about potential challenges in data engineering and how you would tackle them. Practising these scenarios will help you articulate your thought process clearly during the interview.
