At a Glance
- 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.
- Other info: Join a dynamic team where your work genuinely changes lives.
- 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.
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.
What you’ll be doing
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.
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, ownership, and the chance to build from zero.
Package
- 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
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer | £80k to £90k | Equity | Data Driven Health
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Engineer | £80k to £90k | Equity | Data Driven Health
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Opus Recruitment Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Opus Recruitment Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Opus Recruitment Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Opus Recruitment Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
