Data Engineer

Data Engineer

Location:
London (Paddington)
· Hybrid (3 days in-office)
· Full-time

17% of adults worldwide need help to have a baby and by 2050, that number will reach nearly 50%. Yet only 2% can access fertility treatment today. That’s not a gap; it’s a canyon. And we’re building the bridge.

At wawa fertility, we’re on a mission to make fertility care accessible to 100% of those who need it transforming success rates and accessibility worldwide. Our end-to-end platform digitises the entire fertility journey, enabling clinics to swap spreadsheets for seamless workflows and spend less time on admin, more time on life-changing care.

We’re not tiptoeing around an industry plagued by stale incumbents and outdated tech. We’re sprinting through it. With proven product‑market fit, our platform is live in 14+ countries and scaling fast. Clinics trust us. Patients rely on us. And the impact we’re making is real.

We’re building the operating system for the future of fertility care. And we’d love you to help us deliver it.

"To make fertility care accessible to everyone who needs it because the right to start a family shouldn’t depend on where you live or what you earn."

You’re a builder who takes ownership. We’re collaborative without the bureaucracy. There’s no long permission queue, just a mission‑driven team working together to get meaningful things shipped.

You craft trustworthy systems. You care about the humans at the end of every pipeline: the nurse checking scan results at 7am, the clinic lead staring at a dashboard, the patient whose record has to be exactly right. Clean, reliable, well‑modelled data is non‑negotiable for you.

You’ll be working inside a small team of data folks. Autonomy is important, but collaboration is a priority.

This is a role for builders who want to make a direct impact. We’re creating a complete operating system for fertility clinics, and the data layer underneath it is the nervous system. From embryology records and follicle scans to payments and outcomes, you’ll turn messy, high‑stakes clinical data into a clean, trusted foundation the whole product runs on.

• Design and ship data pipelines end-to-end: ingesting from EMR and clinic source systems, modelling into a canonical data layer, and serving analytics‑ready datasets and insights.

• Work closely with customers to migrate and validate data from their old EMR to wawa. Managing customers through complex data migrations step‑by‑step to ensure they have the best start with Wawa.

• Solve genuinely complex problems daily: heterogeneous healthcare data, schema mapping across clinics, data quality and validation, and multi‑country compliance.

• Collaborate with application engineers and clinicians to deliver datasets and metrics that are accurate, well‑documented, and genuinely useful.

• Shape the data architecture and engineering culture of a platform used by clinics across 14+ countries and scaling fast.

• A deep appreciation of well‑modelled data, with the chops to build elegant, scalable pipelines and a sensible warehouse.

• Experience working with clinical healthcare datasets and standards (OMOP is a plus).

• Experience building production data pipelines with strong SQL and Python (bonus points for AWS and Ruby).

• Comfortable working directly with clinics and external stakeholders.

• Transparent and honest communication.

• A collaborative, respectful, and positive presence on the team.

• An eye for data quality and a drive to build pipelines that are reliable and observable.

Help solve the global fertility crisis. Every feature you ship helps make care more accessible for families worldwide.

Share in the company’s success. Your…