We are seeking a Senior Data Engineer to design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics and digital process transformation. This role involves creating robust, future-proof data systems, engineering workflows, and high-value data repositories that support scientific, technical, and operational decision-making.
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, Snowflake, 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.
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.
- Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.
- Familiarity with Databricks AI/BI or Tableau or other BI tools.
- 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:
- 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!
