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.

Are you ready for the next step in your career and want to seize the opportunity to become part of the success story of one of the world's most comprehensive and broadly positioned manufacturers of chemical products?

Job Description

Sika has recently introduced a new data organization structure built on the mesh concept! This strategic move aims to strengthen data ownership, enhance agility, and foster innovation throughout the organization.

As a Data Engineering Intern, you will join a dynamic and agile Marketing domain team dedicated to transforming data from multiple sources (e.g., Salesforce, Pardot, Google, Sprinklr, etc.) into valuable data products.

This role offers the opportunity to collaborate closely with global business stakeholders, providing hands-on experience in the field.

The position is located in Zurich, Switzerland but can also be filled from other Sika locations outside of Switzerland.

• Transform data into valuable insights that inform business decisions, making use of our internal data platforms
• Develop New Data Pipelines: Design and implement efficient pipelines for integrating new data sources.
• Engineer Machine Learning Models: Develop, train and apply machine learning initiatives to solve complex business problems
• Ensure Data Quality: Implement measures and tools to monitor and enhance data accuracy, consistency, and reliability.
• Assist in creation of a scalable Data Product Lifecycle: Assist in creating a robust and sustainable framework for managing the lifecycle of data products.
  
  

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related field.
• Proficiency in SQL and familiarity with relational databases (e.g., PostgreSQL, MySQL).
• Basic programming skills in Python or any other programming language
• Knowledge of data mesh concepts and their practical applications.
• Strong problem-solving skills
• Excellent communication skills and the ability to collaborate in a team-oriented environment.
• Proactive and eager to learn in a fast-paced environment.
• Understanding of machine learning pipelines 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.