4 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Advise customers on data, data pipelines, and data platforms in cloud and on-premise environments.
- Deliver customer projects by implementing solutions, understanding business processes, creating concepts and architectures, and aligning requirements with customers.
- Work in different project roles and contribute directly to customer-facing delivery.
- Support the acquisition of new projects.
- Participate in knowledge sharing and help shape Eraneos’s growing Data & AI services.
Requirements
- Professional experience building automated data pipelines and CI/CD workflows.
- Knowledge of data engineering and proficiency in Python and SQL.
- Familiarity with technologies and platforms such as dbt, Snowflake, Databricks, Spark, Kubernetes, Docker, and Airflow.
- Practical consulting and project experience, with a pragmatic, results-oriented, communicative, and team-oriented approach.
- ETH or university master’s degree in a quantitative discipline such as computer science, data science, mathematics, physics, mechanical engineering, electrical engineering, or a related field.
- Very good spoken and written German and English skills at least at C1 level.
- Certifications in Azure, AWS, GCP, Snowflake, Databricks, or Kubernetes are an advantage.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksdbtDockerGoogle Cloud PlatformKubernetesPythonSnowflakeSQL
Categories
Solutions Engineering
About Eraneos
Eraneos is a Zurich-headquartered management and technology consultancy that delivers strategy, transformation, data & AI, cybersecurity, sourcing, and IT services for enterprises and public-sector organizations. It works from advisory through implementation on digital transformation programs and data-driven solutions. The firm operates internationally with offices across Switzerland, Germany, the Netherlands, Spain, Denmark, Sweden, Austria, the United Kingdom, Singapore, and the United States.