Auf einen Blick
- Aufgaben: Entwickle und pflege Datenpipelines, um geschäftliche Einblicke zu fördern.
- Unternehmen: Innovatives Unternehmen mit globaler und vielfältiger Gemeinschaft.
- Vorteile: Flexibles Arbeiten, Gewinnbeteiligung und Unterstützung für deine persönliche Entwicklung.
- Weitere Informationen: Agile Arbeitsweise und hervorragende Karrierechancen in einem dynamischen Umfeld.
- Warum dieser Job: Gestalte die Zukunft der Datenverarbeitung und arbeite an spannenden Projekten.
- Qualifikationen: Mindestens 3 Jahre Erfahrung in Daten- oder Softwareengineering.
Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.
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 Sage Maker.
Practical data programming skills in Python and SQL.
Hands‑on skills or keen interest in Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, Fast API, and programming languages such as Scala, R, Java, Type Script 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 Dev Ops 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. #J-18808-Ljbffr
Kontaktdaten:
1002 Zühlke Engineering AG Recruiting-Team
