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wawa fertility

Data Engineer

wawa fertility

. Design and ship end-to-end data pipelines .

Posted 10/6/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing end-to-end data pipelines, with a strong focus on data quality and compliance in healthcare settings. Proficient in SQL and Python, with experience in managing complex data migrations and collaborating with clinical stakeholders.

Highest-signal resume keywords
Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingHealthcare Data StandardsData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DesignData IngestionData ModelingSchema MappingData ValidationData ArchitectureData WarehousingAnalytics-Ready DatasetsMulti-Country ComplianceProduction Data Pipelines
Soft Skills
Transparent CommunicationCollaborative Team PresenceRespectful InteractionPositive AttitudeCustomer Management
Tools & Technologies
AWSRubyEMRWawa
Industry Keywords
Clinical Healthcare DatasetsOMOPHealthcare ComplianceFertility-Care Platform

Tech Stack

Tools & technologies
AWSPythonRubySQL

About the role

Key responsibilities & impact
  • Design and ship end-to-end data pipelines
  • Ingest data from EMR and clinic source systems
  • Model data into a canonical data layer
  • Serve analytics-ready datasets and insights
  • Work with customers to migrate and validate data from legacy EMRs to wawa
  • Manage customers through complex data migrations step by step
  • Solve heterogeneous healthcare data, schema mapping, data quality, validation, and multi-country compliance problems
  • Collaborate with application engineers and clinicians
  • Deliver accurate, well-documented, and useful datasets and metrics
  • Shape the data architecture and engineering culture of a fertility-care platform

Requirements

What you’ll need
  • Experience working with clinical healthcare datasets and standards (OMOP is a plus)
  • Experience building production data pipelines
  • Strong SQL and Python skills
  • AWS and Ruby are bonuses
  • Comfortable working directly with clinics and external stakeholders
  • Transparent and honest communication
  • Collaborative, respectful, and positive team presence
  • Strong focus on data quality and reliable, observable pipelines
  • Appreciation of well-modelled data
  • Ability to build elegant, scalable pipelines and a sensible warehouse

Benefits

Comp & perks
  • Meaningful equity and real upside
  • Professional growth and learning opportunities
  • Flexible hybrid working arrangement
  • Mission-driven work
  • Ownership and direct impact
  • Opportunity to join the founding crew and help shape company standards, culture, and direction