We are building a practical data-platform pilot for an industrial group: enabling automated, governed data flows between core planning, trading and reporting systems at one of the group's sites, starting with a high-value inventory-to-logistics use case.
We are looking for a Data Platform Engineer to build the technical foundation for this pilot. Your main task: connect and automate data flows between the client's planning, trading, forecasting and ERP systems, while embedding data classification and access control into the platform from day one.
What You'll Do
- Analyse the client's current system landscape (planning tool, trading tool, forecasting tool, ERP, invoicing) and map out manual data-transfer points
- Design and build the initial pipeline connecting these systems for a single priority use case (linking inventory levels with outbound logistics)
- Automate the highest-friction manual steps first, such as customer-nomination intake and the planning-to-trading interface
- Implement a tiered data classification scheme and role-based access control via the client's identity management system
- Build ETL processes using the client's existing SQL Server / C#/.NET / SSIS stack
- Validate pipeline outputs against live operational data and stakeholder feedback
- Document the architecture, governance model and lessons learned, and prepare a template for rollout to a second site
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- Hands-on experience building ETL pipelines and integrating heterogeneous systems (ERP, trading, or logistics tools a plus)
- Working knowledge of SQL Server, Git, and RBAC/data governance concepts (e.g. Active Directory/Entra ID)
- Comfortable working directly with business stakeholders across IT, Logistics, Sales and Finance
- Familiarity with cloud-based architectures and on-prem/cloud hybrid environments
- Independent worker who enjoys solving clear technical problems
- Valid work permit
Nice to Have
- Experience with industrial or process-manufacturing environments
- Familiarity with BI tools (PowerBI) and Excel-based reporting workflows
- Interest in data governance, compliance frameworks (e.g. BSI/NIST-aligned), or critical-infrastructure settings
Benefits
- Start: asap
- Duration: approx. 3 months (initial pilot phase), with possibility of extension
- Workload: flexible, ideally 40–60%
- Salary: CHF 43+ per hour (depends on qualification)
- Location: hybrid/remote possible
- Language: English required, German a plus
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- Hands-on experience building ETL pipelines and integrating heterogeneous systems (ERP, trading, or logistics tools a plus)
- Working knowledge of SQL Server, Git, and RBAC/data governance concepts (e.g., Active Directory/Entra ID)
- Comfortable working directly with business stakeholders across IT, Logistics, Sales and Finance
- Familiarity with cloud-based architectures and on-prem/cloud hybrid environments
- Independent worker who enjoys solving clear technical problems
- Valid work permit
- Experience with industrial or process-manufacturing environments
- Familiarity with BI tools (PowerBI) and Excel-based reporting workflows
- Interest in data governance, compliance frameworks (e.g. BSI/NIST-aligned), or critical-infrastructure settings
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
