Advanced Data Engineer

Das ist der Job

Your technical expertise and strong methodology help you bring your projects and clients to success.

Darum lohnt es sich

Benefits Work-life blend: safe and healthy workplace, flexible working hours and the possibility to work from home. Global and diverse community: opportunities to collaborate with colleagues from 16 offices worldwide and participate in team camps and celebrations.

Advanced Data Engineer 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 realise tailored solutions that drive business insights.

Responsibilities Guide customers toward successful technical solutions to their data challenges as a trusted advisor. 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 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 from data early and frequently. Keep yourself technically sharp, being open to learning new concepts and technologies.

Qualifications 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 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. Experience with a variety of data architectures (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 such as 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. Profit share scheme: in addition to your annual salary, you may receive a profit share defined by the company’s success. Commitment to development: support for growth and investing in your development.

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. #J-18808-Ljbffr