Data Engineer – Data Platform

Jobtailor; Versailles; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Jobtailor in France is seeking a data engineer to design and build a modern, scalable data platform from greenfield, shaping cloud infrastructure, ingestion, transformation, and serving layers. You will refine data modeling, governance, and pipelines while ensuring HIPAA and GDPR compliance.

You will collaborate with stakeholders across time zones and contribute as a technical voice on platform direction. The role emphasizes end-to-end ownership, proactive risk identification, and delivering

Qualifications

• 3–5 years in data engineering
• Hands-on production experience with Google BigQuery, Databricks and/or Azure data services
• Experience with data infrastructure build or re-platforming
• Familiarity with healthcare data (EHR, claims, clinical datasets) and compliance frameworks (HIPAA, GDPR)

Responsabilités

• Contribute to the design and build of a modern, scalable data platform from greenfield
• Apply and refine data modeling standards, pipeline patterns, ingestion frameworks, and governance practices
• Help ensure HIPAA and GDPR compliance requirements are incorporated into work
• Support full project lifecycle for platform initiatives, define scope, track timelines, manage dependencies
• Proactively identify gaps and risks in the data landscape with proposed solutions
• Drive end-to-end tasks, take ownership, and follow through
• Collaborate with the broader data engineering function and contribute as a technical voice on platform direction
• Translate business and clinical data needs into technical implementation

Connaissances

BigQuery

Databricks

Azure Synapse

Data pipelines

Data modeling

HIPAA/GDPR

Healthcare data

Cloud platforms

Formation

Bachelor’s degree in Computer Science or related field

Description du poste

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)