Data Engineer

Sika is looking for a Data Engineer to join our Sustainability team and build the data foundation behind our global Scope 3 carbon accounting. This is a technical role for someone who enjoys turning complex data into reliable, scalable solutions—designing data models, building pipelines, implementing calculation logic, and solving data-quality challenges. You don’t need a sustainability background; what matters is your ability to understand data, uncover insights, and solve problems. You’ll help digitalize and automate our processes, strengthen analytics and decision-making, and contribute to Sika’s Net Zero journey. The initial focus is on data engineering, with growing ownership of analytics over time.

• Develop, maintain and improve scalable data pipelines, data models, transformation workflows, and calculation logic for Sika’s Scope 3 accounting framework.
• Support the migration of Scope 3 solutions from SAP BI Cubes to Databricks, translating existing business logic and data structures.
• Design and maintain analytical data warehouse and lakehouse solutions using dimensional modelling, medallion architecture,
• Simplify and automate data flows across multiple source systems and contribute to the team’s digitalization journey through AI and automation.
• Build automated validation, testing, and reconciliation controls to ensure high data quality and reliable, auditable calculation outputs.
• Investigate complex data issues, identify root causes, and ensure the technical and logical consistency of calculation results.
• Support strong data governance through clear ownership, documentation, lineage, Unity Catalog, and secure access controls.
• Contribute to CI/CD practices, including version control, automated testing, deployment, and release management across environments.
• Analyze complex data, support scenario modelling, and develop dashboards and reporting solutions that generate actionable insights for business decisions.