Lead Data Engineer GCP

About the role

SFEIR is looking for a Lead Data Engineer to design robust, secure, and scalable end-to-end data architectures on Google Cloud. The role involves leading complex ETL/ELT implementations, defining development best practices, and mentoring junior team members. You will also be responsible for modernizing client stacks and integrating GenAI services into production pipelines.

Responsibilities

• Design end-to-end data architectures such as Lakehouse and Mesh on Google Cloud.
• Lead the implementation of complex ETL/ELT solutions using dbt on BigQuery and orchestrate workflows via Cloud Composer.
• Define development best practices including CI/CD, testing, and data quality while ensuring platform observability.
• Mentor junior profiles through code reviews and pair programming while acting as a technical reference for clients.
• Modernize client technology stacks and integrate GenAI services like Vertex AI into production pipelines.

Required skills

• Google Cloud
• BigQuery
• Python
• SQL
• dbt
• Terraform
• Vertex AI
• Data Architecture
• ETL/ELT

Qualifications

• 5 years of experience as a Data Engineer
• Confirmed professional experience on Google Cloud

Benefits

• Continuous training
• Access to Google Cloud Skills Boost
• AI Champions program

About the Company

SFEIR is a technology consultancy with 950 consultants across 8 agencies in France, Luxembourg, and Belgium. They are a Google Cloud partner with 15 years of experience, specializing in Cloud AI-Ready solutions, modern data platforms, and augmented development.