Data Engineer

The Bachem Group is investing in a new site in Sisslerfeld in Northwestern Switzerland. This step is part of our long‑term strategy to expand production capacity. The new production site will play a central role in achieving these goals. For this large‑scale CAPEX investment project, we are seeking a Data Engineer.

• Design, develop, and maintain scalable batch and real‑time data pipelines on the Databricks platform using PySpark, SQL, and Delta Lake.
• Build and optimize enterprise data architectures, including medallion frameworks (Bronze, Silver, Gold), ensuring data quality, consistency, and reliability across all layers.
• Integrate manufacturing and business‑critical data sources such as SAP, MES, LIMS, eQMS, and process historians into a unified data ecosystem.
• Develop and manage automated data workflows, orchestration processes, and reusable data products to support analytics, reporting, and operational excellence.
• Implement data governance, security, lineage, and compliance standards, ensuring adherence to GMP, GxP, ALCOA+, and data integrity requirements.
• Monitor and enhance data platform performance through workload optimization, cost management, and adoption of engineering best practices, testing frameworks, and CI/CD processes.
• Collaborate closely with data scientists, process engineers, business stakeholders, QA, and validation teams to translate business needs into production‑ready data solutions.
• Enable advanced analytics and machine learning initiatives by providing curated datasets, semantic data models, feature engineering capabilities, and self‑service analytics foundations

• 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 data 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 methodologies.
• Experience with cloud‑based data platforms (AWS and/or Azure) and a good understanding of storage, compute, networking, and identity management.
• Proven track record working in regulated environments, with knowledge of GMP, GxP, data integrity, and audit requirements.
• Experience integrating enterprise and manufacturing systems, ideally including SAP, MES, LIMS, and other OT/IT data sources.
• Pharmaceutical or life sciences industry experience is highly desirable, as is familiarity with modern lakehouse architectures, streaming technologies, data platform validation, and Databricks certifications.

• A dynamic and rapidly growing work environment with internal development and training opportunities
• Flexible working hours with home office days and an option for obtaining additional vacation days through workload reduction
• Company‑run daycare center on the Bachem Campus in Bubendorf
• 60% coverage of pension fund contributions by Bachem AG as well as option for extra‑mandatory pension provision with our Pension Plan Plus
• Access to benefits platforms with discounts from external partners
• Fresh, healthy and varied food in our staff restaurant
• A wide range of free sports activities on the Bachem Campus