Advanced Data Engineer

About Zühlke Group

Founded in Switzerland in 1968, Zühlke Group is a partner-owned global transformation partner with deep roots in engineering and innovation. We empower clients to envision and build their future businesses, ensuring they operate smarter today while adapting to tomorrow's dynamic markets, customers, and communities.

Our multidisciplinary teams specialize in tech strategy, business innovation, digital solutions, applications, and device and systems engineering. We excel in complex, regulated sectors like health and finance, seamlessly integrating strategy, technology implementation, and operational services to foster more effective and resilient businesses.

If you align with our values and are driven to deliver exceptional work for the right reasons, we offer an opportunity to contribute on a global scale and significantly shape our exciting journey.

Zühlke is globally recognized for its expertise in developing Data Platforms and data-driven solutions across diverse industries. We are making substantial investments in global AI & Data growth, believing that data will profoundly impact society and the environment. Data enables us to tackle urgent and unsolved challenges across various fields, from specific organizational applications to issues of global significance.

The Role: Advanced Data Engineer

As an Advanced Data Engineer at Zühlke Group, you will be a pivotal player in designing, implementing, and maintaining robust data pipelines. You will collaborate closely with clients to comprehend their data requirements and craft bespoke solutions that yield valuable business insights. Your technical acumen and strong methodological approach will be instrumental in driving both your projects and clients to success.

How You’ll Make An Impact

• Be a trusted advisor, guiding our customers towards successful technical solutions for their data challenges.
• Communicate the "what," "why," and "how" of proposed solutions effectively to both technical and non-technical stakeholders.
• Develop, test, and monitor distributed data processing pipelines, ensuring reliability and performance.
• Extrapolate versatile data sets and sources to produce high-quality, reproducible datasets in a scalable and maintainable manner.
• Collaborate seamlessly with other data professionals, including Architects, Software Engineers, and Data Scientists.
• Understand the diverse needs of data producers and consumers, ensuring our data services meet all requirements.
• Deliver projects using Agile methodologies, building iteratively to generate early and frequent value from data.
• Maintain technical proficiency by continuously learning new concepts and technologies.

What’s Important To Us (Skills & Qualifications)

• University degree in computer science, software engineering, data science, or a comparable education.
• At least 3 years of experience in data or software engineering positions.
• Proven experience in designing, building, and maintaining data products that satisfy the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science to produce appropriate data for consumers.
• Experience with a variety of data architecture approaches (e.g., Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing).
• Hands-on experience with Cloud Data Platforms such as Databricks, Snowflake, Microsoft Fabric, or Amazon Sagemaker.
• Practical data programming skills in Python and SQL.
• Hands-on skills or a keen interest in technologies like 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.
• Practical knowledge in AI API integrations or RAG application development is a plus.
• Fluency in English is required for this role.

What We Offer

• Work-Life Blend: A safe and healthy workplace with flexible working hours and the possibility to work from home.
• Profit Share Scheme: Potential for a profit share in addition to your annual salary, based on the company’s success.
• Global and Diverse Zühlke Community: Experience a unique, positive, and inclusive work culture, learning from colleagues across 16 global offices at annual team camps and local festivities.
• Committed to Development: We invest in your growth, empowering you to build skills that make a positive impact for yourself and our clients, now and in the future.

Key Skills/Competency

• Data Engineering
• Data Pipelines
• Cloud Data Platforms
• Python
• SQL
• Apache Spark
• Agile Development
• DevOps
• Data Architecture
• Distributed Systems