# Senior Data Engineer at Eucalyptus

Eucalyptus is hiring a Senior Data Engineer in London, United Kingdom. Level rates it Little AI ●○○○; you can [apply on Eucalyptus](https://jobsbylevel.com/go/ad99d8b5-f28b-4526-9e89-377094581a86?utm_medium=ai-agent).

AI Level 1, AI centrality 29 out of 100. UK - HQ - London.

## Details

- Company: [Eucalyptus](https://jobsbylevel.com/companies/eucalyptus)
- AI level: AI Level 1 (score 29 out of 100)
- Location: UK - HQ - London
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/ad99d8b5-f28b-4526-9e89-377094581a86?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-at-eucalyptus-920640

## Description

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 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. What You’ll Do 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. About You 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,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-engineer-at-eucalyptus-920640

Source: https://jobsbylevel.com/jobs/senior-data-engineer-at-eucalyptus-920640

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Level. https://jobsbylevel.com/jobs/senior-data-engineer-at-eucalyptus-920640.

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