Data Engineer (m/w) 80-100%

Aufgaben

• You design, develop and maintain scalable batch and real-time data pipelines on the Databricks platform using PySpark, SQL and Delta Lake.
• You build and optimise enterprise data architectures including medallion frameworks, ensuring data quality, consistency and reliability across all layers.
• You integrate manufacturing and business-critical data sources such as SAP, MES, LIMS, eQMS and process historians into a unified data ecosystem.
• You develop and manage automated data workflows, orchestration processes and reusable data products.
• You implement data governance, security, lineage and compliance standards in line with GMP, GxP, ALCOA+ and data integrity requirements.
• You monitor and enhance data platform performance through workload optimisation, cost management, testing frameworks and CI/CD processes.
• You collaborate closely with data scientists, process engineers, business stakeholders, QA and validation teams.
• You enable advanced analytics and machine learning initiatives with curated datasets, semantic data models and self-service analytics foundations.

Anforderungen

• Bachelor's or master's degree in computer science, data engineering, information technology or a related field
• 5+ years of hands-on experience designing, building and operating enterprise-scale data pipelines and platforms
• Strong expertise in Databricks technologies including PySpark, Delta Lake, Unity Catalog and workflow orchestration
• Proficient in SQL and Python with a solid understanding of software engineering best practices, testing and CI/CD
• Experience with cloud-based data platforms (AWS and/or Azure)
• Proven track record in regulated environments with knowledge of GMP, GxP, data integrity and audit requirements
• Experience integrating enterprise and manufacturing systems such as SAP, MES and LIMS
• Pharmaceutical or life sciences experience is highly desirable

• Azure
• Auditing
• Compliance
• SAP
• Security
• Testing
• Python
• AWS
• SQL

Wir bieten

• A dynamic and rapidly growing work environment with internal development and training opportunities
• Flexible working hours with home office days and the option of additional vacation days through workload reduction
• Company-run daycare centre on campus
• 60% coverage of pension fund contributions plus an extra-mandatory pension option
• Access to benefits platforms with discounts from external partners
• Fresh, healthy and varied food in the staff restaurant and a wide range of free sports activities on campus

Sonstiges

Job Informationen Location: Stein (home office days) Workload: 80-100% Start: By agreement A listed technology company focused on peptide chemistry for the pharmaceutical and biotechnology industry is investing in a new production site in north-western Switzerland. For this large-scale investment project we are seeking a Data Engineer.