Beschreibung

As a Senior Specialist in Scientific Data Engineering, you will design and optimize data pipelines that support cutting-edge research. This role involves collaborating with diverse teams to ensure high-quality data access and integration across various scientific domains.

Anforderungen

• •Bachelors, Master's, or PhD in Bioinformatics, Computer Science, life sciences, or related field
• •7+ years of experience in designing and implementing data pipelines and architectures in research or scientific context, ideally in food or pharma industry
• •Familiarity with software engineering practices and development frameworks (Scrum, Agile, DevOps)
• •Solid foundations in data modeling, ETL/ELT processes, and distributed data systems
• •Proficiency in Python and SQL for data manipulation and pipeline development
• •Experience with DevOps tool stacks (e.g., Git, CI/CD)
• •Experience with cloud platforms (e.g., Azure, AWS) and orchestration tools (e.g., Airflow, Azure Data Factory)
• •Experience with data lake and data warehouse technologies - Snowflake, Databricks
• •Experience working with Linux and container technologies such as Openshift, Docker, or Podman
• •Experience with Bioinformatics, Clinical, or Omics data pipelines
• •Familiarity with Data analysis and Machine learning capabilities and awareness of agentic architecture frameworks
• •Experience collaborating with external teams and driving project streams through others to deliver results
• •Experience in mentoring and guiding junior internal resources and interns
• •Excellent problem-solving, communication skills, strong stakeholder management skills, and strong knowledge sharing skills
• •Fluent spoken and written English

Aufgaben

• •Design and implement end-to-end scientific data pipelines for Bioinformatics, Clinical, or Omics research
• •Develop and deploy scalable data architectures on Linux or cloud platforms
• •Ensure performance, reliability, and compliance with data governance standards
• •Onboard and collaborate with external developers and internal data specialists
• •Work in cross-functional project teams to define project objectives and deliverables
• •Evaluate needs and identify technical approaches to solve business challenges
• •Partner with teams to gather functional requirements and improve data quality
• •Enhance metadata management and data discoverability

Tools & Technologien

Benefits