Advanced Data Engineer

1002 Zühlke Engineering AG; Schlieren; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Profit sharing

Work-from-home option

Flexible working hours

Global offices

Zusammenfassung

1002 Zühlke Engineering AG seeks an Advanced Data Engineer to design, implement, and maintain scalable data pipelines. You will work with clients to understand data needs and translate them into robust, production-ready solutions.

You will develop and monitor data workflows using Spark, Kafka, Airflow and related tools, while collaborating with architects, software engineers, and data scientists to deliver value-driven results.

Qualifikationen

• University degree in computer science, software engineering, data science or equivalent.
• At least 3 years in data or software engineering positions.
• Experience designing, building, and maintaining data products for data consumers.

Aufgaben

• Guide customers toward successful technical solutions to data challenges as a trusted advisor.
• Communicate the what, why and how of proposed solutions to stakeholders.
• Develop, test, and monitor distributed data processing pipelines.
• Extrapolate diverse data sets to produce high-quality, reproducible datasets.
• Collaborate with architects, software engineers, and data scientists.

Kenntnisse

Python

SQL

Apache Spark

Data engineering

Cloud platforms

Kubernetes

ETL

Data modeling

Airflow

Ausbildung

University degree in CS/SE

Tools

Databricks

Snowflake

Kafka

Airflow

Terraform

FastAPI

Jobbeschreibung

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

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.

Benefits

• Work-life blend: safe and healthy workplace, 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.
• Global and diverse community: opportunities to collaborate with colleagues from 16 offices worldwide and participate in team camps and celebrations.
• 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.