Required skills
- Data Warehousing
- Data Architecture
- Data Modeling
- SQL
- Snowflake
- dbt Core
- Data Vault 2.0
- Databricks
- Apache Airflow
- Azure DevOps
- ETL
- ELT
Languages: German
Job description
We are looking for two Data Engineers for a client in the energy sector to develop and enhance a central data warehouse based on Data Vault 2.0. The role involves working with Snowflake, dbt Core, and migrating the data platform.
Project overview
For a client in the energy sector, we are currently looking for two Data Engineers.
Responsibilities
– Development and enhancement of a central data warehouse based on Data Vault 2.0 (VDWH)
– Rebuilding data models in line with changes to the billing and CRM source systems in 2027
– Participation in the migration of the data platform from Snowflake to Databricks
– Work with Snowflake and dbt Core
– Implementation and support of ETL/ELT processes and data integrations
– Collaboration within the team and communication and coordination with relevant project stakeholders
– Use of Apache Airflow and Azure DevOps
– Support in modernizing the data platform
Requirements
– Sound experience in data warehousing, data architecture, and data modeling
– Very good SQL skills
– Practical experience with Snowflake and dbt Core
– Knowledge of Data Vault 2.0 and Databricks
– Experience with Apache Airflow and Azure DevOps
– Understanding of ETL/ELT processes and data integration
– Strong team player, excellent communication and problem-solving skills
– Very good English skills (C1), mandatory
– Good German skills (B2)
– Nice to have: Python skills for data processing and automation
– Nice to have: Experience with AI coding assistants such as Claude Code or GitHub Copilot
– Nice to have: Experience with data platform migrations and modernization projects
Project details
- Start: 01.01.2027
- Duration: 6 Monate + Option
- Remote: remote
- Location: Remote, DE
- Languages: German
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