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- Tasks: Design and build data pipelines, own cloud architecture, and influence data strategy.
- Company: Rapidly scaling HealthTech business focused on improving fertility outcomes.
- Benefits: Competitive salary, equity, and the chance to make a real impact.
- Other info: Join a dynamic team where your work genuinely changes lives.
- Why this job: Be the first Senior Data Engineer and shape the future of health data.
- Qualifications: Strong experience in data engineering with Python and SQL skills.
The predicted salary is between 80000 - 90000 £ 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.
What you’ll be doing:
- 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.
What they’re looking for:
- 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.
Senior Data Engineer | 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 | 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 companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your best Python and SQL projects. This gives potential employers a taste of what you can do and demonstrates your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with exciting opportunities. Plus, it shows you're genuinely interested in being part of our mission to improve health outcomes through data.
We think you need these skills to ace Senior Data Engineer | 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 design and build data pipelines from scratch, so don’t hold back on detailing your technical prowess!
Demonstrate Ownership and Impact: Since this is a role where you’ll have full ownership, share examples of past projects where you’ve taken the lead. We love seeing candidates who can influence decisions and set standards in their previous roles.
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, and S3. Brush up on your knowledge of building scalable data pipelines and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to design data models or frameworks from scratch and how your solutions made a real impact.
✨Understand the Company’s Mission
Research the HealthTech company’s goals, especially their focus on improving fertility outcomes. Be ready to discuss how your role as a Senior Data Engineer can contribute to this mission and why it excites you.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s data strategy, the team dynamics, and how they envision the role evolving as the business scales. This shows your genuine interest and strategic thinking.