Platform Engineer

Databricks Platform Engineer

We are seeking a Platform Engineer to design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics and digital process transformation.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

• Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners). 
• Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks and other modern engineering tools. 
• Develop and maintain specific data repositories, implementing enterprise‑level data models, and creating new models as needed. 
• Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards. 
• Communicate closely with stakeholders and other teams.  

What we expect:

• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred. 
• 6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment. 
• Strong expertise with Databricks platform 
• Proficiency with Python, SQL and cloud-based architectures (AWS services) along with Spark and dbt. 
• Expertise in ETL and DWH.  
• Experience with NoSQL and graph databases. 
• English language proficiency of B2+ 
• Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements. 
• Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability. 

Nice to have:

• Grasp of CI/CD and infrastructure tools like Terraform.  
• Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards. 
• Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc). 
• Experience with principles connecting to or feeding MLOps and model deployment workflows. 
• Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems. 
• Exposure to knowledge graph or ontology‑driven architectures. 

We offer:

• Competitive compensation
• Remote work
• Flexible working hours
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise

If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to  . We will try to find something special and interesting for you!