Data Engineer (a), 80-100%
At a glance
Mid-level Data Engineering role at Bachem. Stein AG.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and operate batch and real-time pipelines with Databricks, PySpark, SQL and Delta Lake
- Shape Bronze, Silver and Gold data layers, keeping information consistent, dependable and fit for use
- Bring SAP, MES, LIMS and process historian data together for manufacturing and business use
- Automate data workflows and reusable products for analytics, reporting and operational work
- Apply governance and compliance controls, tune platform workloads, and work with technical and business teams on production-ready data solutions
What you bring
- A bachelor’s or master’s degree in computer science, data engineering, IT or a related discipline
- At least five years building and running large-scale data platforms and pipelines
- Strong Databricks skills, including PySpark, Delta Lake, Unity Catalog and workflow orchestration
- Fluency in SQL and Python, plus hands-on cloud platform experience with AWS, Azure or both
- Experience in regulated settings, with knowledge of GMP, GxP, data integrity and audit requirements
Who this fits
This role suits a mid-level data engineer who has built enterprise data platforms and worked with regulated data. You’ll collaborate with data scientists, process engineers, business stakeholders, QA and validation teams. The position is based in Stein AG, with home office days offered.
From the employer
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
Would you like to drive innovation together with us?
We look forward to receiving your complete application documents via our application portal.
Learn more about the Bachem Group and get inspired by our exciting work environment at our location in Bubendorf!