Advanced Data Engineer

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation at our core. We help clients envision and build future‑ready businesses – running smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy, business innovation, digital solutions, applications, and device and systems engineering. We excel in complex, regulated spaces including health, finance, and more, connecting strategy, tech implementation, and operational services to make clients more effective and resilient. Role Overview As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. You work closely with clients to understand their data needs and deliver tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring projects and clients to success. Responsibilities Trusted advisor – guide customers toward 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. Produce high‑quality, reproducible datasets from versatile data sets and sources in a scalable and maintainable way. Collaborate with data architects, software engineers, and data scientists with ease. Understand the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements. Deliver projects in an Agile way, building iteratively to produce value early and frequently. Keep yourself technically sharp, being open to learning new concepts and technologies. Qualifications University degree in computer science, software engineering, data science, or comparable education. At least 3 years in data or software engineering positions. Experience designing, building, and maintaining data products that meet the needs of data consumers. Understanding of common data analysis, data visualisation, and optionally data science approaches. Experience with various data architecture approaches (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 Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, Java, Typescript, or .NET). Hands‑on experience with relational and non‑relational databases. Familiarity with big data infrastructures and concepts for storing and processing large 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. Benefits Safe & healthy workplace with flexible working hours and possibility to work from home. Profit share scheme – additional profit share based on company success. Global and diverse Zühlke community – 16 offices worldwide, inclusive culture, team camps, celebrations. Commitment to development – growth investments and empowerment of skills for positive impact. We welcome people from all backgrounds, regardless of gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability, or veteran status. #J-18808-Ljbffr