Data Engineer - HR Data & Analytics

Das ist der Job

Job Description Sika is expanding rapidly, and our data requirements are growing just as fast.

Darum lohnt es sich

Join our Central Data & Analytics Team as a Data Engineer - HR Data & Analytics in Zürich, where you will play a pivotal role in designing and implementing innovative solutions for data engineering and analytics.

Collaborate closely with HR, People Analytics, and HRIS teams to translate HR metrics and use cases into data models and reusable data products. Build strong partnerships with HR, HRIS, People Analytics, and Data & Analytics teams.

Strong understanding of modern data architectures, including Data Mesh, Data Products, and Domain-Oriented Data Ownership. Comfortable working in cross-functional and international environments.

To meet these needs, we are shaping a global strategy for how Sika manages and leverages analytical data, and we are building a state-of-the-art cloud-based data analytics platform.

In this position, you will directly influence the architecture and execution of our new global data analytics approach, helping to set the standard for how Sika utilizes data to drive business value.

Your Impact During the First 6 Months Build the Foundations Develop a deep understanding of Sika's data architecture, HR technology landscape, and Data Mesh strategy. Assess existing HR data assets and identify opportunities for improvement, scalability, and automation.

Design & Deliver Design, develop, and maintain scalable ETL/ELT pipelines integrating data from systems such as SuccessFactors, SmartRecruiters, Rise Up, and other enterprise applications. Build reusable data models and data products that support reporting, analytics, and AI use cases.

Implement data quality, monitoring, security, and governance standards to ensure trusted and compliant HR data. Scale & Optimize Deliver high-quality data products for workforce analytics, talent acquisition, learning, engagement, and future AI initiatives.

Optimize pipelines and data models for performance, reliability, scalability, and cost efficiency. Contribute to the evolution of Sika's global data platform, engineering standards, and analytics capabilities.

Qualifications Education Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. Relevant Data Engineering, Cloud, or Analytics certifications are highly valued. Experience Several years of professional experience in Data Engineering, Analytics Engineering, or a related field.

Experience supporting HR transformation, People Analytics, HRIS, or workforce-related data initiatives is highly desirable. Experience designing analytical data models, dimensional models, and star schemas for enterprise reporting environments.

Demonstrated experience delivering production-grade data pipelines and data platforms in cloud environments.

Technical Expertise Strong experience with Microsoft Azure technologies, including: Azure Databricks Azure Data Factory Azure Storage Azure Key Vault Azure SQL and related services Advanced proficiency in: SQL Python PySpark dbt Experience with source control and collaborative development using Azure DevOps and/or GitHub.

Strong understanding of CI/CD pipelines, Infrastructure as Code, testing frameworks, and DevOps practices. Experience supporting Power BI datasets and enterprise reporting environments. Knowledge of data governance, data quality management, metadata management, and security frameworks.

Personal Competencies Strong analytical and problem-solving skills. Ability to translate business requirements into scalable technical solutions. Excellent stakeholder management and communication skills. Self-driven, structured, and able to manage multiple priorities.

Curious about emerging technologies, AI, and the future of data-driven organizations.

Additional Information Location: Zurich, Switzerland Hybrid work model: 4 days on-site, 1 day remote No visa sponsorship available for this position 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. We look forward to your direct online application. #J-18808-Ljbffr