Data Engineer

Groupe SII; Zürich; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Zusammenfassung

SII Switzerland is seeking a Data Engineer to design and scale ETL/ELT pipelines and translate business needs into robust data structures.

You will collaborate with Data Scientists, Analysts and business departments, applying PySpark and SQL to clean and prepare data, while ensuring data quality and lineage in a modern data platform. Fluency in English is required; German is a plus. This is a permanent, on-site role in Zurich.

Qualifikationen

• Initial practical experience in Data Engineering (internship or working student).
• Strong Python (PySpark) and SQL skills.
• Solid understanding of modern data architectures (Data Lakehouse, distributed systems).
• Experience with relational and non-relational databases and unstructured data.
• Fluent in English; German is a plus.

Aufgaben

• Develop and scale ETL/ELT pipelines to process large, complex data in a Big Data context.
• Create and maintain semantic data models for centralized enterprise data.
• Implement automated data quality checks and ensure data lineage.
• Write clean, high-performance PySpark and SQL code for data preparation.
• Collaborate cross-functionally with Data Scientists, Analysts and business units.

Kenntnisse

Big Data pipelines

PySpark

SQL

Python

Data modeling

Data quality

Ausbildung

Data Engineering internship / working student

Tools

ETL tools

Data Lakehouse concepts

Jobbeschreibung

• Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools.


• Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model.


• Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage.


• Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis.


• Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures.


• Initial practical experience in Data Engineering (as a Junior, e.g., through relevant internships/working student roles; as a Mid-Level, approx. 1–3 years of professional experience).


• Solid knowledge of Python (especially in a Big Data context with PySpark) as well as proficiency in writing complex SQL queries.


• Good understanding of modern data architectures (Data Lakehouse, distributed systems) and ideally experience with integrated all-in-one data platforms.


• Familiar with relational and non-relational databases. You enjoy bringing order to unstructured mountains of data.


• Analytical mindset, work in a structured manner, and possess a strong willingness to learn, allowing you to quickly adapt to new, complex software ecosystems.
  

• Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools.


• Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model.


• Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage.


• Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis.


• Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures.


• Initial practical experience in Data Engineering (as a Junior, e.g., through relevant internships/working student roles; as a Mid-Level, approx. 1–3 years of professional experience).


• Solid knowledge of Python (especially in a Big Data context with PySpark) as well as proficiency in writing complex SQL queries.


• Good understanding of modern data architectures (Data Lakehouse, distributed systems) and ideally experience with integrated all-in-one data platforms.


• Familiar with relational and non-relational databases. You enjoy bringing order to unstructured mountains of data.


• Analytical mindset, work in a structured manner, and possess a strong willingness to learn, allowing you to quickly adapt to new, complex software ecosystems.
  

For Information

• Start date : September


• Location : Zurich - CH


• Duration : permanent contract


• Language : fluent in English, German is a plus
  

At SII Switzerland, we stand out for our strong collaborative culture and recognized expertise in IT consulting and engineering services, supporting our clients in their digital transformation and innovation projects.

With a presence across three offices in Geneva, Lausanne, and Zurich, and a workforce of around 70 consultants, our teams contribute every day to creating a work environment that is stimulating and development-oriented, where expertise, teamwork, and initiative are valued.

For the third consecutive year, SII Switzerland has been certified Great Place To Work and ranked among the Best Workplaces in "Suisse Romande", demonstrating our strong commitment to our employees and the quality of our practices.

True to our human-centered values, we are committed to supporting continuous learning and building strong relationships with our local ecosystem and partners.

Joining SII Switzerland means taking part in a collective adventure guided by our promise "Let’s Tech Together," and helping to build a technological future that is innovative, sustainable, and responsible, at the heart of an environment that values autonomy, collaboration, and professional growth.

Who are we?

SII Group is an international provider of digital services, engineering, and technology consulting. Operating in 21 countries, we support our clients in their innovation and digital transformation projects.

Joining SII means becoming part of a collective adventure: Let’s Tech Together! This promise reflects our shared ambition: to build the technological future together, in an environment where experimentation and autonomy are encouraged, where innovation is at the heart of everything we do, and where every employee can achieve professional fulfilment and take ownership of their responsibilities within an enthusiastic and inclusive team.

Let’s Tech Together embodies who we are and who we aspire to be: a dynamic, innovative, and people-focused company. So, if these values resonate with you, join us!