Data Engineer (a), 80-100%

Bachem; Stein; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Development opportunities

Flexible hours & vacation days

Daycare center

Pension fund coverage

Discount platform

Staff restaurant

Sports activities

Zusammenfassung

Bachem invites a Data Engineer to join a new Sisslerfeld site in Northwestern Switzerland. You will design, build, and maintain scalable data pipelines on the Databricks platform, integrating SAP, MES, LIMS, and eQMS sources to support analytics and operational excellence.

Key requirements include 5+ years with Databricks, PySpark, Delta Lake, and Python, plus experience in regulated environments. Expect collaborative cross-functional work and opportunities to advance data governance and

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT or related field.
• 5+ years designing, building, and operating enterprise-scale data pipelines and data platforms.
• Strong Databricks expertise: PySpark, Delta Lake, Unity Catalog, workflow orchestration.
• Proficiency in SQL and Python, with software engineering practices and CI/CD understanding.
• Experience with cloud data platforms (AWS/Azure) and data governance in regulated environments.

Aufgaben

• Design, develop, and maintain scalable batch and real-time data pipelines on Databricks using PySpark, SQL, and Delta Lake.
• Build and optimize data architectures, including Bronze/Silver/Gold medallion frameworks for quality and reliability.
• Integrate SAP, MES, LIMS, eQMS and other OT/IT data sources into a unified data ecosystem.
• Develop automated data workflows, orchestration, and reusable data products for analytics and operations.
• Implement data governance, security, lineage, and compliance per GMP, GxP, ALCOA+.

Kenntnisse

Databricks

PySpark

Delta Lake

SQL

Python

Data modeling

CI/CD

Data governance

GMP/GxP

Ausbildung

Bachelor’s or Master’s degree in Computer Science / Data Engineering

Tools

Unity Catalog

SAP

MES

LIMS

eQMS

Jobbeschreibung

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.

Your tasks

• 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

Your profile

• 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.

Our offer

• 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