3 meilleures offres (devops/system engineer) (à pourvoir)

Data Engineer - HR Data & Analytics
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- 100%
- Télétravail
- Gestion du personnel
- Niveau Master
- SQL
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Data Engineer - HR Data & Analytics

Sika -
Zürich, ZH

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Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 9 heures

Qualifications

CI/CD
Power BI
Gestion du personnel
Niveau Master
SQL
Esprit d'analyse
Niveau Licence
Ressources humaines
GitHub
HRIS
Compétences en communication
Python

Description complète du poste

About the Role

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

Your Skills and Experience

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

Why Join Us

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.

About 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.

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devops/system engineer emplois

Data Engineer - HR Data & Analytics

Senior Application Engineer (100%)

Tech Lead, LLM & Generative AI (Full Remote - Switzerland)

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