At a Glance
- Tasks: Lead and build a brand-new Data Engineering function in HealthTech.
- Company: Exciting HealthTech business with a focus on innovation.
- Benefits: Salary up to £110k, 25 days holiday, and hybrid working.
- Other info: Opportunity to mentor and lead a team in a dynamic environment.
- Why this job: Genuine ownership to shape engineering direction and influence the future.
- Qualifications: Strong experience in Data Engineering with Python, Spark, and cloud platforms.
The predicted salary is between 110000 - 110000 £ per year.
G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to build and shape a brand-new Data Engineering function from the ground up. This isn’t your standard leadership role and definitely won’t suit everyone.
Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months. From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward — tooling, architecture, strategy and team build included. Huge opportunity to genuinely influence engineering direction within a scaling business.
What they’re looking for:
- Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark
- Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP
- Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI
- Previous experience building, leading or mentoring Data Engineering teams
What’s in it for you?
- Salary up to £110k
- 25 days holiday
- Hybrid working — 1 day in Manchester every 1–2 weeks
- Opportunity to build a function from scratch with genuine ownership
Lead Data Platform Engineer employer: G.Digital
Join a pioneering HealthTech company in Manchester as a Lead Data Platform Engineer, where you will have the unique opportunity to shape and lead a brand-new Data Engineering function. With a competitive salary of up to £110k, generous holiday allowance, and a hybrid working model, this role offers not just a job but a chance to make a significant impact in a scaling business while enjoying a supportive work culture that prioritises employee growth and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the HealthTech space, especially those who work with data. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for a chat about their experiences.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your Python, Spark, or Databricks projects, make sure it’s front and centre. This is your chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company’s current data projects and think about how you can contribute. Be ready to discuss your vision for building a Data Engineering function from scratch.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Platform Engineer role. Highlight your hands-on experience with Python, Spark, and cloud platforms like AWS or Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for HealthTech and how you envision building a Data Engineering function from scratch. Let us know why you're the perfect fit for this unique opportunity.
Showcase Your Leadership Experience:Since this role involves leading a team, make sure to highlight any previous experience in mentoring or building Data Engineering teams. We’re keen to see how you can influence our engineering direction!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at G.Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, Spark, and the cloud platforms mentioned like AWS and Azure. Brush up on your knowledge of Databricks and PowerBI too. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Leadership Skills
Since this role involves building and leading a Data Engineering function, be prepared to talk about your previous experiences in mentoring or leading teams. Share examples of how you’ve influenced engineering direction or improved processes in past roles.
✨Prepare for Hands-On Questions
Expect technical questions that require you to demonstrate your problem-solving skills. You might be asked to solve a data-related challenge on the spot, so practice coding problems and be ready to explain your thought process clearly.
✨Understand the Company’s Vision
Research the HealthTech company and understand their mission and values. Be ready to discuss how your experience aligns with their goals and how you can contribute to shaping their Data Engineering function from the ground up.
