{"id":4234058,"url":"https://alion.io/job/eucalyptus-staff-data-engineer","title":"Staff Data Engineer","company":{"id":20368,"name":"Eucalyptus","domain":"eucalyptus.health","url":"https://alion.io/company/eucalyptus","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":16,"ghost_share":0,"stale_share":0.563,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Kotlin","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-13T11:22:47Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T11:24:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nWe'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.\nYou'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.\nWe 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.\nWe'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.\nWe hope that's you.\nAbout the Role\nAs a Staff Data Engineer, you will take responsibility for our most complex data platform work, owning the ingestion pipelines, streaming infrastructure and platform capabilities that Analytics Engineering, Data Science and business teams rely on every day. Based in our London HQ, you will support the Hims US business as part of the wider Hims & Hers data community, working closely with data teams on both sides of the Atlantic.\nWorking across data engineering, platform engineering and analytics, you will act as the directly responsible owner for multi-sprint initiatives, including CDC connector buildouts, our BigQuery warehouse workstreams and event-streaming infrastructure. You will also mentor Senior Data Engineers, helping them grow from squad-level to cross-squad impact, and help raise the engineering standards of the whole team as we scale our preventative care ecosystem globally.\nWhat You’ll Do\nGuide Platform Initiatives: Take ownership of high-complexity, multi-sprint initiatives, including CDC connector buildouts, BigQuery warehouse workstreams, event-streaming infrastructure, lower environments and adoption of shared standards.\n Build Dependable Ingestion: Design and maintain ingestion pipelines and platform infrastructure, from source connectivity through the raw and cleansed warehouse layers, that Analytics Engineering, Data Science and business teams rely on daily. Take responsibility for production deployments of containerised services on Kubernetes (EKS) across our AWS and GCP environments.\n Run Streaming Pipelines: Design and look after event-driven and streaming pipelines using Kafka (AWS MSK) and Flink on EKS, delivering CDC and user event tracking (UET) streams into BigQuery, with scaling approaches, cost guardrails, consumer lag alerting and runbooks in place before production rollout.\nOwn CDC Ingestion: Take responsibility for change-data-capture pipelines from source systems into BigQuery end to end, from Terraform provisioning through schema change governance and production monitoring.\nOwn Data Contracts: Take responsibility for raw-to-cleansed data contracts, schema governance and SLAs, agreeing expectations with the teams who depend on them.\nChampion Data Quality: Ship pipelines with built-in quality checks, including dbt tests, anomaly detection, schema validation and data-drift alerting, so our data stays trustworthy.\n Strengthen System Reliability: Agree KPIs and SLOs, build monitoring and alerting as code with Datadog (or equivalent), join the on-call rotation, and look after Tier 1 tickets and runbooks across your area, working through the root causes rather than the symptoms.\nEmpower Data Teams: Build platform capabilities that unblock Analytics Engineering, Data Science and ML roadmaps. Partner with legal, security and DevOps on compliance controls, including HIPAA/PHI handling, UK GDPR and cross-border access to patient data, and on IaC hardening.\nMentor & Share Standards: Mentor Senior Data Engineers through design reviews, code reviews and pairing, helping them grow their impact to cross-squad scope. Help the team adopt good practice in testing, CI/CD, observability as code, Airflow, dbt and Schema Registry governance, and join ARC reviews for changes with cross-team or financial impact.\nAbout You\n Platform Engineering Depth: You are a highly experienced data engineer (typically 8+ years) who has designed, built and run production ingestion and streaming platforms at scale. You are confident in Python and SQL, comfortable with Kafka, Flink, dbt, Airflow and BigQuery, and ideally have built Kafka-ecosystem services in Kotlin, Go or similar.\nInitiative Ownership: You have taken ownership of complex, multi-sprint technical initiatives as the directly responsible owner, from scoping and design docs through to production rollout, and can keep several teams aligned along the way.\nReliability Mindset: You treat reliability as part of the design. You have set SLOs, built monitoring and alerting as code, worked on-call rotations and written the runbooks that make operations repeatable.\nData Quality & Governance: You build quality checks into pipelines from the start, and you have experience with data contracts, schema governance and tooling such as a Schema Registry.\nInfrastructure as Code: You are comfortable with Terraform and CI/CD patterns across AWS and GCP, and enjoy working alongside DevOps and security colleagues to harden them.\nMentoring & Influence: You help other engineers grow through design reviews, code reviews and pairing. You work across squads, take part in architecture reviews and share standards that other teams choose to adopt.\nCross-Functional Collaboration: You work well with Analytics Engineers, Data Scientists, Machine Learning Engineers, legal and security, and can explain technical trade-offs clearly to non-technical colleagues.\nNice to have\nExperience 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.\nWhy join Eucalyptus\nWhat'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.\nBuild 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.\nMake real impact - Your work directly shapes patient outcomes and scales evidence-based care across markets.\nAccelerate your growth - High ownership, continuous feedback and dedicated development support.\nJoin a motivated team - Talented peers solving complex clinical and operational problems at scale.\nWhat's ahead in the UK\nBe an owner - Your own stake in the business with our employee options programme\nInvest in your growth - Annual development budget plus 3 days of professional development leave\nWork flexibly - Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration\nSupport your well-being - Private health insurance through Vitality, or a monthly wellness allowance to spend on what matters most to you\nTake time off - 25 days of holiday, enhanced parental leave and work from anywhere 3 weeks a year\n Join a connected team - A vibrant office culture with regular socials, clubs, after-school sport and seasonal events\nAt 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, and all hiring decisions are made by real people. Every application is reviewed by a member of our recruitment team.\nAt 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. 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