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Data Engineering Lead

eucalyptus.health Logo

Eucalyptus

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Location:
United Kingdom, London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We’re looking for a Data Engineering Lead to take ownership of our UK & EU data ingestion and transformation architecture — ensuring that the data powering our analytics, product, and operations systems is accurate, timely, and reliable. You’ll be hands-on across GCP, Datastream, Dagster & dbt Core, managing critical ingestion pipelines and evolving our data platform to support real-time analytics, ML feature engineering, and compliance at scale. This is a technical leadership role with one direct report to start, offering the opportunity to shape how data flows across our international operations.

Job Responsibility:

  • Own and evolve our UK & EU data ingestion architecture, spanning GCP services (BigQuery, Pub/Sub, Datastream), Dagster, dbt Core
  • Work with Growth, Product, Ops & Clinical teams to 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
  • Collaborate with analytics engineers, data analysts & data scientists to design data models that are performant, well-documented, and governed
  • Develop and maintain ML Feature pipelines to serve production ML use cases
  • Implement data observability, lineage, and alerting for ingestion pipelines
  • Optimise BigQuery performance and cost through partitioning, clustering, and query design
  • Manage and mentor at least one Data / Analytics Engineer, providing guidance on best practices, code quality, and design

Requirements:

  • 7-8+ years of experience in data engineering or similar roles, with proven experience designing and maintaining large-scale ingestion systems
  • 1 year of direct management experience
  • Strong proficiency in SQL, Python, Terraform and modern data warehouses (BigQuery, Snowflake, or Redshift)
  • Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines
  • Experience with implementing or maintaining production ML pipelines
  • Understanding of data reliability, observability, and compliance in a regulated or healthcare context (a plus)
  • Strong 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

Nice to have:

Understanding of data reliability, observability, and compliance in a regulated or healthcare context

What we offer:
  • Your own stake in the business with our employee options program
  • Newly opened HQ in vibrant Old Street, designed for focus and collaboration
  • A flexible hybrid setup: 3 days a week in our Old Street office
  • A monthly wellness allowance, for you to spend on whatever wellness means to you
  • A yearly personal development budget and 3 extra days of leave to continuously up-skill yourself
  • 25 days holiday + bank holidays with an enhanced parental leave policy
  • A fun office with regular socials including after-school sport, clubs, cycle kick-offs, and seasonal parties
  • Your own MacBook and more

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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