Job Title: Data Engineer (DBT & Snowflake)

Location: Dusseldorf, GER

Project Site: Hybrid (2-3 days WFO)

Pay Rate: €400/day

Duration: 6+ Months

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Key Responsibilities:

• Design, develop, and optimize data pipelines and transformations using DBT.

• Work with Azure Data Factory (ADF) or similar ETL tools for data orchestration.

• Migrate BODS (or other ETL tools) to DBT and transition data from Oracle to Snowflake.

• Develop and optimize advanced SQL queries for efficient data processing.

• Implement Data Warehousing (DWH) principles and best practices.

• Collaborate with stakeholders to understand business and technical requirements.

• Provide technical leadership to the team and engage with clients for solutions.

• Ensure data quality, governance, and compliance standards.

Must-Have Skills:

• DBT, ADF, Advanced SQL, and foundational Cloud knowledge (AWS/Azure/GCP).

• Strong understanding of Data Warehousing (DWH) concepts and Data Engineering principles.

• Experience in ETL/ELT migration projects (BODS to DBT, Oracle to Snowflake).

• Analytical & problem-solving skills for data analysis and debugging.

• Technical leadership & client-facing experience with quick solutioning skills.

• Hands-on experience with Snowflake.

Nice-to-Have Skills:

• Azure Cloud Services & Azure DevOps (CI/CD).

• Kafka for real-time data streaming.

• Terraform & Containers for cloud infrastructure automation.

• Python for scripting and automation.