Build the data foundation behind Sika’s global Scope 3 carbon accounting, designing data models, pipelines, and analytics solutions.
Compensation
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.
Responsibilities
Develop, maintain and improve scalable data pipelines, data models, transformation workflows, and calculation logic
Support the migration of Scope 3 solutions from SAP BI Cubes to Databricks
Design and maintain analytical data warehouse and lakehouse solutions using dimensional modelling, medallion architecture
Simplify and automate data flows across multiple source systems
Build automated validation, testing, and reconciliation controls
Requirements
Degree in Computer Science, Management of Information Systems, Data Science, or equivalent professional experience
Design, develop, and maintain Power BI dashboards, semantic models, and analytical solutions to support data-driven decision making across various business functions.
Responsibilities
Design and develop complex Power BI applications
Transform enterprise data including SAP HANA into actionable insights
Ensure performance, accuracy, security, governance, and documentation standards
Develop applications with Microsoft Power Apps, Power Automate, SharePoint/Dataverse or SQL backend
Propose and guide data storage and retrieval in enterprise data platform
Requirements
Bachelor’s or master’s degree in data Analytics, Computer Science, Information Systems, Engineering, Statistics, or related discipline
Design and validate database-level security for licensed third‑party data, including authentication, authorization, auditing, and data lifecycle controls.
Responsibilities
Design and validate database-level security for licensed third‑party data
Run POCs and turn validated patterns into reusable, production‑ready designs
Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption
Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up
Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites
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