Data Engineer

Role

We are looking for hands-on Data Engineers with solid experience in modern data engineering practices, especially around ELT, dbt, Data Vault, and data migration .

The consultants will contribute to the design, development, migration, and validation of data pipelines in a structured delivery environment.

Key Responsibilities

• Develop and maintain data transformation pipelines using dbt .
• Design and implement Data Vault data models.
• Translate business and technical requirements into reliable ELT workflows.
• Support and execute data migration projects , including migration from legacy platforms to modern data platforms.
• Build and optimize scalable data transformation pipelines.
• Implement data quality checks, tests, and reconciliation controls.
• Collaborate with business analysts, data architects, and technical leads.
• Ensure clean, modular, and maintainable code.
• Participate in code reviews, documentation, and delivery governance.
• Investigate data issues and support root cause analysis.
• Contribute to best practices around CI/CD, testing, and deployment.

Required Skills – Must Have

• Strong experience as a Data Engineer .
• Hands-on experience with dbt .
• Strong hands-on experience with Data Vault modelling .
• Proven experience in data migration projects .
• Excellent SQL skills.
• Good understanding of modern ELT principles.
• Experience building scalable and maintainable data transformation pipelines.
• Ability to write clean, documented, and tested code.
• Experience with data quality, testing, and reconciliation.
• Good communication skills in English.
• Ability to work in a structured project environment.

Nice to Have

• Experience with Snowflake .
• Experience in data platform modernization programs.
• Experience migrating from legacy technologies to modern cloud data platforms.
• Experience in insurance, banking, or another regulated environment.
• Experience with CI/CD, Git, and DevOps practices.
• Experience working in distributed or offshore delivery teams.