Analytics Engineer DBT Databricks FP&A Logistique (IT)
Hybrid
Core
Re-adapt an existing logistics FP&A data project from a decommissioning tool to a target data stack (datalake) using dbt and cloud technologies.
Role type
Analytics Engineer (Data Engineering)
Builds
Robust and scalable data pipelines for logistics financial planning and analysis
Domain
Logistics / Financial Planning & Analysis / Cloud Data Engineering
Required skills
dbt, SQL, Cloud environments (AWS S3, Databricks), Git/GitHub, CI/CD, Data quality testing (Unit/Integration/UAT)
Technologies
dbt, SQL, AWS S3, Databricks, Git, GitHub
Responsibilities
Migrate data sources to the target datalake, document data and transformation rules, develop complex transformation rules, implement data quality controls and tests
Seniority
Mid-level, hands-on IC
