Advanced Data Engineer

NZZone; Schweiz; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Profit share

Work from home

Flexible working hours

Global team

Zusammenfassung

Zühlke is seeking an Advanced Data Engineer to design, implement, and maintain data pipelines that deliver actionable insights. You’ll collaborate with architects, software engineers, and data scientists to build scalable data products for diverse customers.

The role requires hands-on experience with Python, SQL, Databricks, Spark, and modern data architectures. German and English fluency are expected, with opportunities to work across multiple offices and industries.

Qualifikationen

• University degree in computer science, software engineering, data science, or comparable education.
• 3+ years in data or software engineering roles.
• Experience designing, building, and maintaining data products for data consumers.
• Knowledge of data analysis, data visualization, and data science basics.

Aufgaben

• Design, implement, and maintain data pipelines and data products.
• Collaborate with Architects, Software Engineers, and Data Scientists.
• Explain complex technical concepts to both technical and non-technical stakeholders.
• Deliver projects in Agile fashion and iterate to create value from data.

Kenntnisse

Python

SQL

Databricks

Spark

Airflow

Kubernetes

Terraform

Scala

Java

Ausbildung

Bachelor's degree in CS/SE/Data Science

Tools

Delta Lake

Data Lakehouse

Git

Jobbeschreibung

Advanced Data Engineer

Zühlke is internationally recognized for expertise in developing Data Platforms and data-driven solutions for customers in many different industries. We are investing heavily in global growth in AI & Data. We believe that Data will have a positive impact on our society and environment. Data allows us to address urgent yet unsolved problems in a broad range of fields, from specific applications within organisations to problems of global significance.

As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines, working closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.

How you’ll make an impact

• Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
• Communicating the “what”, “why” and “how” of proposed solutions to technical and non-technical stakeholders.
• Developing, testing, and monitoring distributed data processing pipelines.
• Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
• Collaborating with other data roles such as Architects, Software Engineers, and Data Scientists with ease.
• Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.
• Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.
• Keeping yourself technically sharp, being open to learning new concepts and technologies.

What’s important to us

• You have a university degree (ETH, Uni, FH) in computer science, software engineering, data science, or a comparable education.
• At least 3 years in data or software engineering positions.
• Experience in designing, building, and maintaining data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.
• Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing).
• Experience with Cloud Data Platforms like Databricks, Snowflake, Microsoft Fabric or Amazon Sagemaker.
• Practical data programming skills in Python and SQL.
• Hands‑on skills or a keen interest in such technologies as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, Java, Typescript or .NET).
• Hands‑on experience with both relational and non-relational databases.
• Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
• Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time‑series, geospatial, image, etc.).
• Experience with agile development and DevOps methodologies.
• Fluency in both German and English is required for this position.

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home.
• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year.
• Global and diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
• Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.