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Advanced Data Engineer(m/w/x)
Designing and implementing data pipelines for client-specific business insights at a global tech transformation partner. 3+ years in data or software engineering positions required. Profit share scheme.
Anforderungen
- University degree in computer science, software engineering, data science, or comparable education
- At least 3 years in data or software engineering positions
- Experience in designing, building, and maintaining data products
- Understanding of data analysis, data visualization, and optionally data science
- Experience with various data architectures
- 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 technologies like 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
- Practical knowledge of handling varied types of structured and unstructured data
- Experience with agile development and DevOps methodologies
- Fluency in both German and English
Aufgaben
- Design and implement data pipelines
- Maintain data pipelines for optimal performance
- Collaborate with clients to understand data needs
- Develop tailored solutions for business insights
- Communicate technical solutions to stakeholders
- Develop, test, and monitor data processing pipelines
- Extrapolate data sets to produce high-quality datasets
- Ensure datasets are scalable and maintainable
- Work collaboratively with Architects, Software Engineers, and Data Scientists
- Understand the needs of data producers and consumers
- Deliver projects using Agile methodologies
- Continuously learn new technologies and concepts
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Snowflake
- Microsoft Fabric
- Amazon Sagemaker
- Python
- SQL
- Apache Spark
- Delta Lake
- Airflow
- Kafka
- Kubernetes
- Terraform
- FastAPI
- Scala
- R
- Java
- Typescript
- .NET
Benefits
Boni & Prämien
- Profit share scheme
Flexibles Arbeiten
- Flexible working hours
- Work from home
Lockere Unternehmenskultur
- Global and diverse community
Weiterbildungsangebote
- Commitment to development
Noch nicht perfekt?
- Zühlke Engineering AGVollzeitmit HomeofficeSeniorSchlieren
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Advanced Data Engineer(m/w/x)
Designing and implementing data pipelines for client-specific business insights at a global tech transformation partner. 3+ years in data or software engineering positions required. Profit share scheme.
Anforderungen
- University degree in computer science, software engineering, data science, or comparable education
- At least 3 years in data or software engineering positions
- Experience in designing, building, and maintaining data products
- Understanding of data analysis, data visualization, and optionally data science
- Experience with various data architectures
- 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 technologies like 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
- Practical knowledge of handling varied types of structured and unstructured data
- Experience with agile development and DevOps methodologies
- Fluency in both German and English
Aufgaben
- Design and implement data pipelines
- Maintain data pipelines for optimal performance
- Collaborate with clients to understand data needs
- Develop tailored solutions for business insights
- Communicate technical solutions to stakeholders
- Develop, test, and monitor data processing pipelines
- Extrapolate data sets to produce high-quality datasets
- Ensure datasets are scalable and maintainable
- Work collaboratively with Architects, Software Engineers, and Data Scientists
- Understand the needs of data producers and consumers
- Deliver projects using Agile methodologies
- Continuously learn new technologies and concepts
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Snowflake
- Microsoft Fabric
- Amazon Sagemaker
- Python
- SQL
- Apache Spark
- Delta Lake
- Airflow
- Kafka
- Kubernetes
- Terraform
- FastAPI
- Scala
- R
- Java
- Typescript
- .NET
Benefits
Boni & Prämien
- Profit share scheme
Flexibles Arbeiten
- Flexible working hours
- Work from home
Lockere Unternehmenskultur
- Global and diverse community
Weiterbildungsangebote
- Commitment to development
Über das Unternehmen
Zühlke Engineering AG
Branche
IT
Beschreibung
The company is a global transformation partner specializing in tech strategy, business innovation, and digital solutions.
Noch nicht perfekt?
- Zühlke Engineering AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - Mimacom AG
Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Zühlke Engineering AG
Lead Data Architect(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - RepRisk AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Xebia Group
Solution / Platform Architekt - Fokus Databricks(m/w/x)
Vollzeitmit HomeofficeManagementZürich