Data Engineer - UK

We’re on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We’re here to build better long-term care.

Euc is the company behind Juniper, one of the world’s largest weight-management programs combining GLP-1 medication with personalised nutrition, movement support, and clinician-led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times.

• 130% YoY revenue growth and a 90% reduction in cash burn, with $100M+ raised from investors including BOND, NewView, Blackbird and Airtree.
• Supported over 350k patients living with obesity across our 5 markets
• Received selective NICE endorsement to provide services to the NHS.
• Tailored our offering to thousand of patients in Germany and Japan

We’re making good health last a lifetime

More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.

Eucalyptus is the company behind Juniper, one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.

Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.

We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.

If that gets you excited, let’s talk!

We’re looking for a Mid-level Data Engineer to join our growing UK data team. This role combines hands-on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack.

You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.

• →Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
• →Partner with analysts and data scientists to deliver clean, well-modelled datasets for reporting and experimentation.
• →Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
• →Collaborate with global engineering and platform teams to align on standards while advocating for UK-specific requirements.
• →Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real-time data pipelines, and inference and personalisation services.

• 4+ years of experience in data engineering or similar roles.
• Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
• Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
• Familiarity with cloud platforms (preferably GCP)
• Comfortable with Python for data transformation and pipeline development.
• Ability to distil requirements into a clear, bespoke solution that creates sustainable value
• Strong communication skills — able to work with both technical and non-technical stakeholders.