Data Engineer

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 solutionsdesigning data models building pipelines implementing calculation logic and solving data-quality challenges. You dont need a sustainability background; what matters is your ability to understand data uncover insights and solve problems. Youll help digitalize and automate our processes strengthen analytics and decision-making and contribute to Sikas 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 Sikas 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 teams 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.

Qualifications :

• 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

Additional Information :

We look forward to your application. For this position only direct applications will be considered. For any further information please reach us at 

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.

Remote Work :

No

Employment Type :

Full-time