Senior Specialist, Scientific Data Engineering

vor 15 Stunden

Lausanne, Waadt, Schweiz Nespresso Deutschland GmbH Vollzeit

Requirements Must have: - Bachelors or Master's or PhD in Bioinformatics, Computer Science, or a related field combined with life sciences - Significant professional experience – 7+ years – in designing and implementing data pipelines and architectures in a research context - 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 such as Snowflake and Databricks - Experience working with Linux and container technologies like Openshift, Docker, or Podman - Experience with Bioinformatics or Clinical or Omics data pipelines - Familiarity with data analysis and machine learning capabilities - Experience collaborating with external teams and driving projects through others - Experience in mentoring and guiding junior resources and interns - Excellent problem-solving and communication skills - Strong stakeholder management and knowledge sharing skills - Fluent spoken and written English Responsibilities: - Design and implement end-to-end scientific data pipelines for Bioinformatics, Clinical, or Omics, including data ingestion, transformation, storage, and analytics - Develop and deploy scalable data architectures on premise (Linux) or cloud platforms, ensuring performance, reliability, and compliance with data governance standards - Onboard and collaborate with external developers and internal data specialists to accelerate project delivery - Work in cross-functional project teams to define project objectives and deliverables - Partner with other teams to gather functional requirements and improve data quality, metadata management, and data discoverability Company: At Nestlé Research, we are a global organization with a passionate team located in Lausanne, Switzerland. We embrace fresh thinking and collaboration to create innovative solutions, placing people at the core of our mission. We offer exciting opportunities for career development, flexible working arrangements, and a culture committed to diversity, equity, and inclusion. In our dynamic international environment, we empower you to learn and grow while making a meaningful impact on our world.

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