Senior Data Engineer in Proftrans

We are looking for a Senior Data Engineer for one of our clients — a fast-growing company building a new digital healthcare business. You’ll help develop data solutions powering consumer- and healthcare professional-facing tools aimed at improving medication adherence and supporting better health outcomes.

You’ll collaborate cross-functionally with product, engineering, clinical, and behavioral science teams to deliver scalable, secure, and high-quality data foundations.

What you’ll do

• Build and evolve federated data management components to support scalability and patient ownership/control of healthcare data
• Design conceptual, logical, and physical data models
• Develop and maintain data pipelines (ETL/ELT) for DWH and data lake architectures
• Build streaming and messaging solutions using Kafka and stream processing frameworks (Flink / Spark / Apache Beam)
• Apply data governance practices to ensure data quality, consistency, and security
• Implement data security and access controls aligned with privacy requirements
• Document data architecture artifacts (data models, flow diagrams, integrations)
• Partner with stakeholders to translate business requirements into robust data architecture solutions
• Stay up to date with emerging data technologies and evaluate fit for the platform

What we’re looking for (must-have)

• 6+ years of overall software engineering experience
• Proven experience as a Data Engineer with strong data architecture fundamentals
• 4+ years of hands-on experience with AWS (DWH services and cloud storage)
• Experience with stream processing in Java (Flink / Spark / Apache Beam)
• Strong Kafka expertise (messaging, processing, validation)
• Experience building data lakes and DWH, designing ELT/ETL processes
• Strong knowledge of Big Data, NoSQL, and RDBMS
• Understanding of data governance, data management, and data quality concepts
• Strong communication skills and ability to work across business andtechnical teams

Nice to have

• Databricks experience
• OMOP common data model, Python
• Experience with DataOps, data mesh
• Building analytics and AI/ML solutions with Databricks
• Healthcare domain experience (US market)

What we offer

• Flexible work format: remote or hybrid (depending on location/project needs)
• Stable, long-term project with clear priorities and measurable impact
• Fast decision cycles and a low-bureaucracy environment
• High ownership and close collaboration with senior stakeholders
• Professional growth in a technically complex healthcare domain
• Supportive culture: knowledge sharing, transparency, and autonomy

Equal opportunity

F1servicecentre is an equal opportunity employer. We welcome applicants from all backgrounds and consider candidates based on skills and experience.

Key skills: AWS • Kafka • Flink • Spark • Apache Beam • DWH • Data Lakes • Databricks

How to apply: Please send your CV and a short summary of your most relevant experience (AWS + streaming + DWH/data lake).