Data Engineer - HR Data & Analytics

Dienstleistungen allgemein
Arbeitsort: Zürich
Anstellungsgrad: 100%
Anstellungsart: Festanstellung
Arbeitsbeginn: per sofort od. nach Vereinbarung

Firmeninfo

Data Engineer - HR Data & Analytics
Vollzeit
Human Resources
Zürich, Zurich, Switzerland

Jetzt Bewerben
Teilen
Karriere
Aktuelle Stellenangebote
Data Engineer - HR Data & Analytics
Über die Rolle
Sika is expanding rapidly, and our data requirements are growing just as fast. 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.

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

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.
Build strong partnerships with HR, HRIS, People Analytics, and Data & Analytics teams.
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
Ihre Fähigkeiten und Erfahrungen
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.
Strong understanding of modern data architectures, including Data Mesh, Data Products, and Domain-Oriented Data Ownership.
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.
Comfortable working in cross-functional and international environments.
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


Warum Sie zu uns kommen sollten
Building Trust every day

We offer intensive training and interesting perspectives for anyone who wants to build a career
The chance to bring new ideas, interesting areas for development, and taking responsibility early on are some of the key factors that drive Sika's pioneering spirit
Friendly, personable and often surprisingly uncomplicated, that's how many of our employees describe their working relationships at Sika. We call this the Sika Spirit
For insights into what our colleagues say about working at Sika, please click here.

We look forward to your direct online application.

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.

Über Sika
Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and automotive industry. Sika has subsidiaries in 103 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and vehicle industries toward greater environmental compatibility. With more than 33,000 employees, the company generated sales of CHF 11.2 billion in 2023.

Data Engineer - HR Data & Analytics
Vollzeit
Human Resources
Zürich, Zurich, Switzerland

Jetzt Bewerben
Teilen
Karriere
Aktuelle Stellenangebote
Data Engineer - HR Data & Analytics
Über die Rolle
Sika is expanding rapidly, and our data requirements are growing just as fast. 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.

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

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.
Build strong partnerships with HR, HRIS, People Analytics, and Data & Analytics teams.
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
Ihre Fähigkeiten und Erfahrungen
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.
Strong understanding of modern data architectures, including Data Mesh, Data Products, and Domain-Oriented Data Ownership.
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.
Comfortable working in cross-functional and international environments.
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


Warum Sie zu uns kommen sollten
Building Trust every day

We offer intensive training and interesting perspectives for anyone who wants to build a career
The chance to bring new ideas, interesting areas for development, and taking responsibility early on are some of the key factors that drive Sika's pioneering spirit
Friendly, personable and often surprisingly uncomplicated, that's how many of our employees describe their working relationships at Sika. We call this the Sika Spirit
For insights into what our colleagues say about working at Sika, please click here.

We look forward to your direct online application.

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.

Über Sika
Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and automotive industry. Sika has subsidiaries in 103 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and vehicle industries toward greater environmental compatibility. With more than 33,000 employees, the company generated sales of CHF 11.2 billion in 2023.

Unser Kunde wünscht
  • Bachelor- oder Masterabschluss in Informatik, Informationssystemen, Data Science, Engineering oder einem verwandten Bereich
  • Mehrjährige Berufserfahrung im Data Engineering, Analytics Engineering oder in einer vergleichbaren Funktion
  • Erfahrung mit HR-Transformation, People Analytics, HRIS oder Workforce-Daten von Vorteil
  • Sehr gutes Verständnis moderner Datenarchitekturen
  • Kenntnisse in Data Mesh, Data Products und domänenorientierter Datenverantwortung
  • Erfahrung im Design analytischer Datenmodelle
  • Kenntnisse in dimensionalen Modellen und Star Schemas für Enterprise Reporting
  • Erfahrung mit produktionsreifen Datenpipelines und Cloud-Datenplattformen
  • Fundierte Erfahrung mit Microsoft Azure
  • Kenntnisse in Azure Databricks, Azure Data Factory, Azure Storage, Azure Key Vault und Azure SQL
  • Sehr gute Kenntnisse in SQL
  • Sehr gute Kenntnisse in Python
  • Erfahrung mit PySpark
  • Erfahrung mit dbt
  • Erfahrung mit Azure DevOps oder GitHub
  • Verständnis für CI/CD-Pipelines, Infrastructure as Code, Testing Frameworks und DevOps-Praktiken
  • Erfahrung mit Power BI Datasets und Enterprise Reporting von Vorteil
  • Kenntnisse in Data Governance, Data Quality, Metadata Management und Security Frameworks
  • Relevante Zertifizierungen in Data Engineering, Cloud oder Analytics von Vorteil
  • Starke analytische und konzeptionelle Fähigkeiten
  • Fähigkeit, Business-Anforderungen in skalierbare technische Lösungen zu übersetzen
  • Sehr gute Kommunikations- und Stakeholder-Management-Fähigkeiten
  • Freude an der Arbeit in internationalen und crossfunktionalen Teams
  • Selbstständige, strukturierte und prioritätenbewusste Arbeitsweise
  • Interesse an neuen Technologien, AI und datengetriebenen Organisationen
  • Arbeitsbewilligung für die Schweiz erforderlich

  • Bachelor- oder Masterabschluss in Informatik, Informationssystemen, Data Science, Engineering oder einem verwandten Bereich
  • Mehrjährige Berufserfahrung im Data Engineering, Analytics Engineering oder in einer vergleichbaren Funktion
  • Erfahrung mit HR-Transformation, People Analytics, HRIS oder Workforce-Daten von Vorteil
  • Sehr gutes Verständnis moderner Datenarchitekturen
  • Kenntnisse in Data Mesh, Data Products und domänenorientierter Datenverantwortung
  • Erfahrung im Design analytischer Datenmodelle
  • Kenntnisse in dimensionalen Modellen und Star Schemas für Enterprise Reporting
  • Erfahrung mit produktionsreifen Datenpipelines und Cloud-Datenplattformen
  • Fundierte Erfahrung mit Microsoft Azure
  • Kenntnisse in Azure Databricks, Azure Data Factory, Azure Storage, Azure Key Vault und Azure SQL
  • Sehr gute Kenntnisse in SQL
  • Sehr gute Kenntnisse in Python
  • Erfahrung mit PySpark
  • Erfahrung mit dbt
  • Erfahrung mit Azure DevOps oder GitHub
  • Verständnis für CI/CD-Pipelines, Infrastructure as Code, Testing Frameworks und DevOps-Praktiken
  • Erfahrung mit Power BI Datasets und Enterprise Reporting von Vorteil
  • Kenntnisse in Data Governance, Data Quality, Metadata Management und Security Frameworks
  • Relevante Zertifizierungen in Data Engineering, Cloud oder Analytics von Vorteil
  • Starke analytische und konzeptionelle Fähigkeiten
  • Fähigkeit, Business-Anforderungen in skalierbare technische Lösungen zu übersetzen
  • Sehr gute Kommunikations- und Stakeholder-Management-Fähigkeiten
  • Freude an der Arbeit in internationalen und crossfunktionalen Teams
  • Selbstständige, strukturierte und prioritätenbewusste Arbeitsweise
  • Interesse an neuen Technologien, AI und datengetriebenen Organisationen
  • Arbeitsbewilligung für die Schweiz erforderlich

Das erwartet dich
  • Aufbau eines tiefen Verständnisses der bestehenden Datenarchitektur, HR-Systemlandschaft und Data-Mesh-Strategie
  • Aufbau starker Partnerschaften mit HR, HRIS, People Analytics und Data-&-Analytics-Teams
  • Analyse bestehender HR-Datenbestände
  • Identifikation von Verbesserungspotenzialen in Bezug auf Skalierbarkeit, Automatisierung und Datenqualität
  • Design, Entwicklung und Pflege skalierbarer ETL- und ELT-Pipelines
  • Integration von Daten aus Systemen wie SuccessFactors, SmartRecruiters, Rise Up und weiteren Enterprise-Applikationen
  • Aufbau wiederverwendbarer Datenmodelle und Data Products
  • Unterstützung von Reporting, Analytics und AI Use Cases
  • Implementierung von Standards für Datenqualität, Monitoring, Sicherheit und Governance
  • Sicherstellung vertrauenswürdiger und compliance-konformer HR-Daten
  • Entwicklung hochwertiger Data Products für Workforce Analytics, Talent Acquisition, Learning und Engagement
  • Unterstützung zukünftiger AI-Initiativen
  • Optimierung von Datenpipelines und Datenmodellen hinsichtlich Performance, Stabilität, Skalierbarkeit und Kosteneffizienz
  • Mitwirkung an der Weiterentwicklung der globalen Datenplattform
  • Beitrag zur Definition und Verbesserung von Engineering Standards
  • Aktive Unterstützung beim Ausbau moderner Analytics-Fähigkeiten im Unternehmen

  • Aufbau eines tiefen Verständnisses der bestehenden Datenarchitektur, HR-Systemlandschaft und Data-Mesh-Strategie
  • Aufbau starker Partnerschaften mit HR, HRIS, People Analytics und Data-&-Analytics-Teams
  • Analyse bestehender HR-Datenbestände
  • Identifikation von Verbesserungspotenzialen in Bezug auf Skalierbarkeit, Automatisierung und Datenqualität
  • Design, Entwicklung und Pflege skalierbarer ETL- und ELT-Pipelines
  • Integration von Daten aus Systemen wie SuccessFactors, SmartRecruiters, Rise Up und weiteren Enterprise-Applikationen
  • Aufbau wiederverwendbarer Datenmodelle und Data Products
  • Unterstützung von Reporting, Analytics und AI Use Cases
  • Implementierung von Standards für Datenqualität, Monitoring, Sicherheit und Governance
  • Sicherstellung vertrauenswürdiger und compliance-konformer HR-Daten
  • Entwicklung hochwertiger Data Products für Workforce Analytics, Talent Acquisition, Learning und Engagement
  • Unterstützung zukünftiger AI-Initiativen
  • Optimierung von Datenpipelines und Datenmodellen hinsichtlich Performance, Stabilität, Skalierbarkeit und Kosteneffizienz
  • Mitwirkung an der Weiterentwicklung der globalen Datenplattform
  • Beitrag zur Definition und Verbesserung von Engineering Standards
  • Aktive Unterstützung beim Ausbau moderner Analytics-Fähigkeiten im Unternehmen
Arbeitsbeginn
per sofort od. nach Vereinbarung

Ihr Berater

Ricardo Fisch
Vakanz-Nummer
2229-103291-1-1

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