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Eucalyptus

Global telehealth platform offering digital clinics

Staff Data Engineer

Data EngineeringPosted on Nov 13
Full-timeLondon, UK

About the Job

Requirements

  • Typically 8+ years of experience designing, building and operating production ingestion and streaming platforms at scale.
  • Strong proficiency in Python and SQL, with working familiarity with Kafka, Flink, dbt, Airflow and BigQuery.
  • Experience owning complex, multi-sprint technical initiatives from scoping and design documentation through production rollout, while aligning several teams.
  • Experience setting SLOs, building monitoring and alerting as code, participating in on-call rotations and writing operational runbooks.
  • Experience with data contracts, schema governance and tooling such as a Schema Registry.
  • Comfort with Terraform and CI/CD patterns across AWS and GCP, including infrastructure hardening in collaboration with DevOps and security colleagues.
  • Ability to mentor engineers through design reviews, code reviews and pairing; work across squads, participate in architecture reviews and share standards adopted by other teams.
  • Ability to explain technical trade-offs clearly to non-technical colleagues and collaborate with Analytics Engineers, Data Scientists, Machine Learning Engineers, legal and security teams.

Responsibilities

  • Own high-complexity, multi-sprint initiatives, including CDC connector buildouts, BigQuery warehouse workstreams, event-streaming infrastructure, lower environments and adoption of shared standards.
  • Design and maintain ingestion pipelines and platform infrastructure from source connectivity through raw and cleansed warehouse layers for Analytics Engineering, Data Science and business teams.
  • Take responsibility for production deployments of containerised services on Kubernetes (EKS) across AWS and GCP environments.
  • Design and operate event-driven and streaming pipelines using Kafka (AWS MSK) and Flink on EKS, delivering CDC and user event tracking streams into BigQuery, with scaling approaches, cost guardrails, consumer-lag alerting and runbooks in place before production rollout.
  • Own change-data-capture pipelines from source systems into BigQuery, including Terraform provisioning, schema-change governance and production monitoring.
  • Own raw-to-cleansed data contracts, schema governance and SLAs, agreeing expectations with dependent teams.
  • Build pipeline quality checks, including dbt tests, anomaly detection, schema validation and data-drift alerting.
  • Agree KPIs and SLOs; build monitoring and alerting as code with Datadog or an equivalent; participate in the on-call rotation; and manage Tier 1 tickets and runbooks, addressing root causes.
  • Build platform capabilities that unblock Analytics Engineering, Data Science and Machine Learning roadmaps.
  • Partner with legal, security and DevOps on compliance controls, including HIPAA/PHI handling, UK GDPR, cross-border patient-data access and infrastructure-as-code hardening.
  • Mentor Senior Data Engineers through design reviews, code reviews and pairing to help 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 participate in ARC reviews for changes with cross-team or financial impact.

Desired Qualifications

  • Experience in a regulated sector such as healthtech, fintech or gaming, finding workable approaches within compliance constraints.
  • Familiarity with reverse-ETL or data-activation tools such as Hightouch or Segment.
  • Experience building Kafka-ecosystem services in Kotlin, Go or a similar language.

About the Company

Eucalyptus

Global telehealth platform offering digital clinics

Eucalyptus.vc runs digital healthcare clinics as a global telehealth provider focused on patient-first care. Patients receive remote consultations, treatments, and ongoing care from certified practitioners through a single digital platform. Revenue comes from fees for consultations, treatments, and ongoing care, supported by a global team of over 400 professionals. The goal is to provide safe, effective, and accessible care worldwide by delivering end-to-end digital healthcare services.

Company size
501-1,000
Company stage
Acquired
Total funding
$139.7M
Headquarters
Sydney NSW, Australia
Founded
2019

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