Senior Data Engineer

Uk - Hq - Londonsenior

Data EngineerData

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Quick Summary

Key Responsibilities

Design and build data pipelines that are dependable, high quality and ready to grow with the business.

Technical Tools

Data EngineerData

We're the world's leading consumer healthcare platform, supporting millions of patients across the US, Australia, the UK, Germany, Japan, Spain and Canada.

We're driven by the belief that good health should last a lifetime, and that to get there we need to deliver the personalised, high quality and empathetic care that the traditional system cannot support.

You'll partner with our care teams of prescribers, nurses, health coaches, pharmacists and dietitians to support patients across preventative health, weight management and specific women's and men's health conditions.

We joined Hims & Hers so that you can do all of the above on a bigger scale, with more ambition, a stronger global brand and the resources to deliver care to patients in dozens of countries.

We're looking for people who appreciate and are excited by the enormity and uniqueness of this challenge, and want to work in the most ambitious, smart, fast moving and positive sum environment of their lives to transform how healthcare is delivered globally.

We hope that's you.

About the Role

~1 min read

As a Senior Data Engineer, you will help design, build and look after the data pipelines and infrastructure that support insight, experimentation and machine learning across our business. Based in our London HQ, you will support the Hims US business as part of the wider Hims & Hers data community, working together with data teams on both sides of the Atlantic.

Working across data engineering, analytics and platform engineering, you will collaborate with analytics engineers, data analysts, machine learning engineers and business colleagues to turn raw data into reliable, trusted and easy-to-use data products. You will care deeply about quality, reliability and performance as we grow our preventative care ecosystem globally.

Responsibilities

~2 min read

→Build Scalable Pipelines: Design and build data pipelines that are dependable, high quality and ready to grow with the business.
→Care for Containerised Deployments: Take responsibility for production deployments of containerised data applications and ETL infrastructure on Kubernetes (EKS) across our AWS and GCP environments.
→Support Data Processing & Integration: Build and look after batch and streaming workflows using Python, SQL, dbt, Kafka (AWS MSK), Flink and Airflow, bringing data into the BigQuery warehouse via CDC and user event tracking (UET) streams and REST APIs.
→Improve Quality & Reliability: Implement testing frameworks, monitoring as code (Datadog or equivalent), anomaly detection, SLOs and runbooks so our data stays trustworthy and dependable.
→Enable Self-Service Onboarding: Build platform capabilities such as config-driven table onboarding that help analytics engineers, analysts and business colleagues bring new data onto the platform without bespoke engineering.
→Partner Across Data Teams: Work with analytics engineers to keep core data sources performant and dependable, and support ML engineers with reliable platform foundations for deploying models. Transformation logic and data marts remain with Analytics Engineering.
→Share Engineering Practices: Work with the wider Data Platform team to agree on and uphold good engineering practices.
→Embed Governance & Security: Partner with legal and security colleagues on governance, data compliance and security policies, including HIPAA/PHI handling, UK GDPR and cross-border access to patient data.
→Deliver Infrastructure as Code: Help shape how we approach DevOps on Terraform (IaC) and CI/CD within the data platform, taking responsibility for versioning and deployment of data pipelines.

Data Engineering Depth: You are an experienced data engineer (typically 5+ years) who can design and look after pipelines end to end, from ingestion through to consumption. You are comfortable working with Python, SQL, dbt, Kafka, Flink, Airflow and REST APIs.
Infrastructure & Operational Skills: You have experience running containerised infrastructure on Kubernetes and are comfortable with Terraform, CI/CD and code versioning practices for data workloads, ideally across both AWS and GCP.
Quality & Reliability Mindset: You care about data quality as a core part of the job, with hands-on experience implementing testing frameworks, observability tooling, SLOs and runbooks.
Enablement Focus: You care about the people using your data. You have a track record of building platform tooling that helps analysts, analytics engineers and colleagues feel confident working with data themselves.
Cross-Functional Collaboration: You work well with analytics engineers, machine learning engineers, DevOps, legal and security, and can explain technical trade-offs clearly to non-technical colleagues.
Responsibility & Judgement: You take responsibility for the systems you build, help the team grow through code review and mentoring, and make thoughtful calls in ambiguous, fast-moving environments.

Nice to Have

~1 min read

Experience in regulated sectors (such as healthtech, fintech or gaming), finding creative paths forward inside compliance constraints rather than being stopped by them. Familiarity with reverse-ETL / data activation tools such as Hightouch or Segment is also a plus.

What We Offer

~1 min read

✓What's next - Our goal for the next three years is to support 1 million patients globally to live better for longer, launching into new conditions, demographics and geographies.

✓Build something world-changing - We're on the path to becoming the world's largest international digital healthcare company. It will be challenging, fast-paced and deeply rewarding.

✓Make real impact - Your work directly shapes patient outcomes and scales evidence-based care across markets.

✓Accelerate your growth - High ownership, continuous feedback and dedicated development support.

✓Join a motivated team - Talented peers solving complex clinical and operational problems at scale.

Be an owner - Your own stake in the business with our employee options programme
Invest in your growth - Annual development budget plus 3 days of professional development leave
Work flexibly - Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration
Support your well-being - Private health insurance through Vitality, or a monthly wellness allowance to spend on what matters most to you
Take time off - 25 days of holiday, enhanced parental leave and work from anywhere 3 weeks a year
Join a connected team - A vibrant office culture with regular socials, clubs, after-school sport and seasonal events

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process. We use AI-assisted tools across our business to help our teams work more efficiently, including within our recruitment process. These tools support our team — all hiring decisions are made by real people, and every application is reviewed by a member of our recruitment team.