Data Engineering Intern

Company Description

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 industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. In 2024, Sika’s around 33,000 employees generated annual sales of CHF 11.76 billion.

Job Description

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 Engineering Intern in Zürich, where you will have the opportunity to learn from experienced professionals and contribute to innovative solutions for data engineering and analytics. In this internship, you will gain hands-on experience with modern data technologies and help set the standard for how Sika utilizes data to drive business value.

What to Expect in Your First 6 Months

Month 1-2:

• Get familiar with Sika’s data architecture, technology stack, and main data sources (e.g., SAP S/4Hana, Salesforce, SAP ByDesign).
• Shadow team members to understand daily workflows and best practices in data engineering.
• Support the team with basic data extraction, data entry, and documentation tasks.
• Get certified in different technologies such as Azure, Databricks and dbt.

Month 3-4:

• Learn to use key data engineering tools such as Azure Databricks, dbt, and Azure Data Factory through guided tutorials and hands-on exercises.
• Assist in maintaining and updating simple ETL/ELT pipelines under supervision.
• Help monitor data quality and perform basic data validation checks.

Month 5-onwards:

• Support teammates in preparing data for analytics and reporting use cases.
• Help create and update documentation, templates, and user guides for data processes.
• Participate in troubleshooting sessions and learn how to resolve common data pipeline issues.
• Continue to build your skills by attending internal workshops and collaborating on small-scale data projects with guidance from mentors.

Qualifications

• Recently completed a degree in Data Science, Computer Science, Management of Information Systems, or a related field; Relevant certifications on Data Engineering are a plus.
• Strong interest in data engineering and analytics; relevant coursework or project experience is a plus.
• Familiarity with programming languages such as SQL and Python; knowledge of PySpark or dbt is an advantage.
• Interest in cloud platforms and services (e.g., Azure Databricks, Azure Data Factory); prior experience is a plus but not required.
• Familiarity with code versioning tools such as Azure DevOps or GitHub is a plus.
• Eager to learn about domain-oriented data management approaches, such as Data Mesh.
• Strong analytical and problem-solving skills.
• Fluency in English; proficiency in additional languages is a plus.

Additional Information

To find out what our colleagues say about working at Sika, please click here.

We look forward to receiving your direct online application.