platform eng databricks

Databricks Platform Engineer Send CV 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 career@quantori.com . We will try to find something special and interesting for you! Back to open job positions