About the role
For one of our clients, we are looking for an Advanced Data Engineer to build and maintain data pipelines and data products. You will work directly with clients to understand their needs and turn diverse data sources into reliable, reusable datasets.
Design, develop, test and monitor distributed data pipelines for batch and streaming workloads.
Integrate structured and unstructured data and produce reproducible datasets that meet the needs of data consumers.
Advise clients on technical options and explain design decisions to technical and business stakeholders.
Work with architects, software engineers and data scientists to deliver data products iteratively.
Degree in computer science, software engineering, data science or a comparable qualification.
At least three years of experience in data engineering or software engineering.
Practical Python and SQL skills and hands-on experience with relational and non-relational databases.
Experience building and maintaining data products, with knowledge of architectures such as data lakes, lakehouses and medallion architectures.
Experience with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or Amazon SageMaker.
Familiarity with large-scale data processing, data analysis and visualisation, as well as agile development and DevOps.
Hands-on experience with or interest in technologies such as Spark, Delta Lake, Airflow, Kafka, Kubernetes or Terraform.
Fluent German and English.
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Design, develop, test and monitor distributed data pipelines for batch and streaming workloads.
Integrate structured and unstructured data and produce reproducible datasets that meet the needs of data consumers.
Advise clients on technical options and explain design decisions to technical and business stakeholders.
Work with architects, software engineers and data scientists to deliver data products iteratively.
Degree in computer science, software engineering, data science or a comparable qualification.
At least three years of experience in data engineering or software engineering.
Practical Python and SQL skills and hands-on experience with relational and non-relational databases.
Experience building and maintaining data products, with knowledge of architectures such as data lakes, lakehouses and medallion architectures.
Experience with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or Amazon SageMaker.
Familiarity with large-scale data processing, data analysis and visualisation, as well as agile development and DevOps.
Hands-on experience with or interest in technologies such as Spark, Delta Lake, Airflow, Kafka, Kubernetes or Terraform.
Fluent German and English.
Find Jobs in Switzerland on Arbeitnow
Requirements
- Data Processing
- Data Engineer