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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, believing that Data will have a positive impact on society and the environment. As an Advanced Data Engineer, you play a key role in designing, implementing, and maintaining data pipelines, working closely with clients to understand their data needs and deliver tailored solutions that drive business insights.

Tasks

  • Act as a trusted advisor, guiding customers towards successful technical solutions to their data challenges.
  • Communicate the "what", "why" and "how" of proposed solutions to technical and non-technical stakeholders.
  • Develop, test, and monitor distributed data processing pipelines.
  • Extrapolate versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
  • Collaborate with other data roles such as Architects, Software Engineers, and Data Scientists.
  • Understand the needs of various producers and consumers for data services, ensuring products meet their requirements.
  • Deliver projects in an Agile way, building iteratively to produce value from data early and frequently.
  • Keep yourself technically sharp and be open to learning new concepts and technologies.

Requirements

  • University degree (ETH, Uni, FH) in computer science, software engineering, data science, or 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.
  • Understanding of common approaches to data analysis, data visualization, and optionally data science to produce the right data for data consumers.
  • Experience with various 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 keen interest in technologies such 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.

Benefits

  • Safe and 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: Colleagues from all 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: Investment in your development and empowerment to build skills for a positive impact, both personally and for clients.
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Über uns
Zühlke Engineering AG ist ein Schweizer Technologie- und Innovationsdienstleister mit Hauptsitz in Schlieren. Das Unternehmen unterstützt Kunden bei Strategie, Digitalisierung, Softwareentwicklung, Produktentwicklung, System Engineering, Daten- und KI-Lösungen sowie bei der Umsetzung komplexer technologischer Vorhaben. Zühlke arbeitet für Unternehmen aus regulierten und technologieintensiven Branchen wie Finanzdienstleistungen, Versicherungen, Gesundheitswesen, Industrie und weiteren Märkten. Die Gruppe wurde 1968 in der Schweiz gegründet und ist heute mit Standorten in Europa und Asien tätig.
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