Data Engineer – Data Platform

Responsibilities

• Contribute to the design and build of a modern, scalable data platform from greenfield — participate in decisions on cloud infrastructure, data ingestion, transformation, storage, and serving layers
• Apply and help refine data modeling standards, pipeline patterns, ingestion frameworks, and governance practices
• Help ensure the platform meets HIPAA and GDPR compliance requirements and incorporate those constraints into your work
• Support the full project lifecycle for platform initiatives: help define scope, track timelines, manage dependencies, and deliver with a bias for action
• Proactively identify gaps and risks in the data landscape — bring problems to the table with proposed solutions
• Drive tasks end-to-end: take ownership, manage your own blockers, and follow through
• Partner with the broader data engineering function and contribute as a collaborative technical voice on platform direction
• Translate business and clinical data needs into technical implementation, balancing pragmatism with long-term scalability
• Collaborate with stakeholders across Sweden, the UK, the US, and local markets — strong asynchronous communication and comfort operating across time zones required
• Establish and optimize data models and architectures (e.g., lakehouse, data warehouse, data mesh) to support enterprise-wide data accessibility and performance
• Proactively identify gaps, risks, and opportunities in the data landscape — present problems with solutions, not just observations
• Comply with company and departmental policies and administrative requirements
• Perform other duties as assigned or needed

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field; or equivalent professional experience
• 3–5 years in data engineering, with demonstrated experience contributing to pipelines and platform work
• Hands-on production experience with Google BigQuery, Microsoft Fabric or Azure data services (including Synapse), or Databricks — working understanding of the trade-offs and the ability to articulate them
• Experience building or contributing to a data infrastructure build or re-platforming effort, not just maintaining an existing platform
• Familiarity with healthcare data — EHR, claims, clinical datasets — and the compliance frameworks that govern them (HIPAA, GDPR)