At a Glance
- Tasks: Lead and build a new Data Engineering function in HealthTech.
- Company: Exciting HealthTech business with a focus on innovation.
- Benefits: £600p/d, remote work, and the chance to shape engineering direction.
- Other info: Unique opportunity to influence a growing business from the ground up.
- Why this job: Make a real impact by defining data strategy and leading a team.
- Qualifications: Strong experience in Python, Spark, and cloud platforms like AWS or Azure.
Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up.
This isn’t your standard contract; it’s a leadership role so 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?
- Day Rate £600p/d | Outside ir35
- Remote - Must be UK based
- Opportunity to kick off a greenfield build
Interested? Drop me a message or email.
Contract Lead Data Engineer in Brighton employer: G.Digital
Join a pioneering HealthTech company that values innovation and leadership in the Data Engineering space. With a competitive day rate and the flexibility of remote work, you'll have the unique opportunity to shape the future of their Data Engineering function while enjoying a collaborative and growth-oriented culture. This role not only offers hands-on project involvement but also the chance to influence strategic decisions and build a high-performing team in a rapidly scaling environment.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Lead Data Engineer in Brighton
✨Tip Number 1
Network like a pro! Reach out to your connections in the HealthTech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Python, Spark, and Databricks. This gives potential employers a taste of what you can bring to their new Data Engineering function.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with AWS, Azure, and team leadership. We want you to shine when it comes to demonstrating your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join exciting projects in the HealthTech sector.
We think you need these skills to ace Contract Lead Data Engineer in Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with Python, Spark, and cloud platforms like AWS or Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about leading a Data Engineering function in HealthTech. We love seeing passion and a clear vision for how you can contribute to our team.
Showcase Leadership Experience:Since this is a leadership role, make sure to highlight any previous experience you have in building or mentoring Data Engineering teams. We’re looking for someone who can influence direction and strategy, so let us know how you’ve done that before!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
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 is a leadership role, be prepared to talk about your experience in building and mentoring Data Engineering teams. Share examples of how you've influenced engineering direction in previous roles and what strategies you implemented to lead your team effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach building a Data Engineering function from scratch. Think about the architecture, tooling, and team dynamics. Having a clear vision and being able to articulate it will set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future. Inquire about their vision for the Data Engineering function and how they see it evolving. This shows you’re not just looking for a job, but are genuinely interested in contributing to their success.
