Senior Data Engineer (Databricks + Data Vault)

Quick Facts

• Role: Senior Data Engineer (Databricks + Data Vault)

• Work mode: 100% remote (optional integration meetings up to 2 times per year)

Description

Build the data transformation layer in dbt using a Data Vault architecture for a long-term product project focused on market and fund data analysis.

Collaborate closely with the Data Analyst and domain expert and deliver data initiatives from concept through production (end-to-end). You will take ownership of architectural and technical decisions and resolve complex data engineering challenges.

Requirements

• Minimum 5 years of overall experience as a Data Engineer

• Minimum 3 years of hands-on experience with Databricks

• Very good SQL and Python skills

• Advanced PySpark knowledge

• Experience with dbt

• Very good knowledge of Data Vault architecture and data modeling

• English at least C1

• High independence and full ownership of delivered solutions

Benefits

• Remote work with flexibility (work from anywhere)

• Interesting projects matched to your skills and interests

• B2B contract without exclusivity clause

• Professional development with modern technologies and varied projects