Zühlke Engineering AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Schlieren
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ZÜZühlke Engineering AG
Advanced Data Engineer(m/w/x)
Schlieren
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- Snowflake
- Microsoft Fabric
- Amazon Sagemaker
- Python
- SQL
- Apache Spark
- Delta Lake
- Airflow
- Kafka
- Kubernetes
- Terraform
- FastAPI
- Scala
- R
- Java
- Typescript
- .NET
Benefits
Bonuses & Incentives
- Profit share scheme
Flexible Working
- Flexible working hours
- Work from home
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zühlke Engineering AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ZÜZühlke Engineering AG
Advanced Data Engineer(m/w/x)
Schlieren
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- Snowflake
- Microsoft Fabric
- Amazon Sagemaker
- Python
- SQL
- Apache Spark
- Delta Lake
- Airflow
- Kafka
- Kubernetes
- Terraform
- FastAPI
- Scala
- R
- Java
- Typescript
- .NET
Benefits
Bonuses & Incentives
- Profit share scheme
Flexible Working
- Flexible working hours
- Work from home
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zühlke Engineering AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Zühlke Engineering AG
Industry
IT
Description
The company is a global transformation partner specializing in tech strategy, business innovation, and digital solutions.
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