About the Role
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.
- Degree in Computer Science, Management of Information Systems, Data Science, or equivalent professional experience
- 2-3 years of experience in Data Engineering or a related field (software engineering, data science data analytics)
- Proven experience with data platforms like Databricks or similar (Snowflake, Microsoft Fabric, Google BigQuery or similar)
- Proven experience with Azure services including Data Factory, Storage Account, and Key Vault
- Coding skills in SQL, Python and PySpark
- Experience with code versioning and DevOps tools such as Azure DevOps or GitHub, and CI/CD practices
- Familiarity with data governance concepts and tools, including data management, data lineage, access controls, and row-level security, is an advantage
- Strong analytical, problem-solving, and communication skills
- Curious mindset and willingness to continuously learn
- Fluency in English; German and/or French are plus
Preferred
- Data Engineering certifications
- Dbt experience
We look forward to your application. For this position, only direct applications will be considered. For any further information please reach us at [email protected]
We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.