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- Tasks: Design and build end-to-end data pipelines from scratch using Python and SQL.
- Company: Rapidly scaling HealthTech business focused on improving fertility outcomes.
- Benefits: Competitive salary, equity, and the freedom to own a greenfield data function.
- Why this job: Be the first Senior Data Engineer and influence key data decisions from day one.
- Qualifications: Strong experience in data engineering with a passion for autonomy and ownership.
- Other info: Join a dynamic team where your work genuinely changes lives.
The predicted salary is between 64000 - 96000 £ per year.
HealthTech Scale-Up | First Data Hire | Python | AWS | SQL
Are you a Senior Data Engineer who wants real ownership, real impact, and the chance to build everything properly from day one? I’m working with a rapidly scaling HealthTech business on a mission to improve fertility outcomes using data, science, and a beautifully engineered product. They’ve built an exceptional full‑stack engineering team and now they’re hiring their first Senior Data Engineer to own the entire data landscape.
This is the rare role where you set the standards, define the architecture, and influence every key data decision as the company grows.
Why this is a career‑defining Senior Data Engineer role- You’ll be the first Senior Data Engineer → full ownership, autonomy, and technical direction.
- Build modern, scalable data pipelines without legacy constraints.
- Work closely with engineers, product teams and clinical experts where data genuinely changes lives.
- Competitive salary + equity in a high‑growth HealthTech.
As the Senior Data Engineer, you will:
- Design and build end‑to‑end data pipelines from scratch.
- Develop high-quality Python and SQL solutions.
- Own all cloud architecture within AWS (Lambda, Glue, S3, Redshift etc.).
- Create data models, frameworks, and best practices that others will follow.
- Influence long-term strategy as the business scales its data ecosystem.
- Strong experience as a Senior Data Engineer or an established Data Engineer ready for the step up.
- Proven delivery of automated, scalable pipelines.
- Someone excited by autonomy, ownership, and the chance to build from zero.
- Equity
- The freedom to architect and own a greenfield data function
If this sounds like something you would be interested in get in touch with me, kumbirai - kumbirai.mafini@opus.com
Senior Data Engineer | £80k to £90k | Equity | Data Driven Health employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer | £80k to £90k | Equity | Data Driven Health
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those already working at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your best Python and SQL projects. This is your chance to demonstrate your expertise and creativity in building data pipelines.
✨Tip Number 3
Ace the interview by being ready to discuss your past experiences in detail. Think about specific challenges you've faced and how you overcame them, especially in building scalable solutions. 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, it shows you’re genuinely interested in joining the team and making an impact from day one.
We think you need these skills to ace Senior Data Engineer | £80k to £90k | Equity | Data Driven Health
Some tips for your application 🫡
Show Your Passion for HealthTech: When writing your application, let your enthusiasm for HealthTech shine through. We want to see how your skills can contribute to improving fertility outcomes and making a real difference in people's lives.
Highlight Your Technical Skills: Make sure to showcase your experience with Python, SQL, and AWS. We’re looking for someone who can build modern, scalable data pipelines, so don’t hold back on detailing your technical expertise!
Demonstrate Ownership and Autonomy: Since this role is all about ownership, share examples from your past where you took the lead on projects or made significant decisions. We want to know how you’ve influenced data strategies before!
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, SQL, and AWS services like Lambda, Glue, S3, and Redshift. Be ready to discuss your past projects and how you’ve used these technologies to build scalable data pipelines. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you had to design data models or frameworks from scratch. This will demonstrate your ability to take ownership and influence key decisions.
✨Understand the Company’s Mission
Research the HealthTech company’s mission to improve fertility outcomes. Be ready to explain how your skills as a Senior Data Engineer can contribute to this goal. Showing genuine interest in their mission can set you apart from other candidates.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current data landscape, the challenges they face, and how they envision the role evolving. This shows that you’re not just interested in the job, but also in the company’s future.
