Senior R&D Data Engineer

Quantori; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Remote or office work

Healthcare benefits

Continuous education

Certifications paid by the company

Zusammenfassung

Quantori is looking for a Senior R&D Data Engineer to design, build, and optimize data systems for analytics and digital transformation. You will work on scalable data pipelines and partner with experts to create high-quality data products.

Qualified candidates should have a Bachelor’s in a relevant field, 3+ years of experience, and proficiency with tools like Python and AWS. The position offers competitive compensation and options for remote or office work.

Qualifikationen

• 3+ years of experience in data engineering, preferably in a scientific, manufacturing, or healthcare environment.
• Proficiency with cloud-based architectures and modern data engineering tools.
• Strong analytical, problem-solving, and stakeholder-management skills.

Aufgaben

• Design and maintain scalable data pipelines for various data sources.
• Partner with data scientists and domain experts on data product requirements.
• Implement data quality and performance standards.

Kenntnisse

Data modeling

Database design

Python

R

SQL

AWS services

Snowflake

Databricks

ETL

Ausbildung

Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science

Advanced degree preferred

Tools

NoSQL databases

Graph databases

Jobbeschreibung

We are seeking a Senior R&D 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:

Data Engineering & Pipeline Development

• 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.

Data Product & Architecture Partnership

• Partner with data scientists, domain experts, and digital technology teams to translate business needs into high‑quality data products and engineering requirements.
• Work closely with ontology/knowledge graph teams to implement semantic models and future‑proof data architectures.

Quality, Compliance & Performance

• Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across the data assets.
• Apply data versioning and lineage tracking for compliance, traceability, and audit readiness.
• Follow software development best practices including code versioning, DevOps integration, and documentation.

Cross-Functional Collaboration

• Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption.
• Support multiple concurrent projects, managing priorities, and delivering maximum business value across the network.

What we expect:

• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
• 3+ 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).
• 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.

We offer:

• Competitive compensation
• Remote or office work
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company