Job Description
What we're looking for
We're looking for a Senior Data Engineer with deep expertise in GCP, who can operate confidently across the platform, independently drive technical decisions, and deliver scalable, reliable data solutions in a cloud-native environment.
Required qualifications
- Strong hands-on experience as a Data Engineer working with Google Cloud Platform (GCP).
- Solid experience with BigQuery, Dataform, Cloud Functions, Dataflow, GKE, and Docker.
- Advanced programming skills in Python and SQL.
- Experience designing and maintaining end-to-end data pipelines and data processing workflows.
- Strong understanding of cloud architecture, scalability, and data engineering best practices.
- Ability to work independently, take ownership of technical solutions, and drive initiatives with minimal supervision.
- Strong problem-solving and analytical skills.
- English level: Advanced or Fluent.
Nice to have
- Experience working in agile environments.
- Knowledge of data governance, monitoring, and observability practices.
- Experience supporting analytics, reporting, or machine learning workloads.
What we're looking for
We're looking for a Senior Data Engineer with deep expertise in GCP, who can operate confidently across the platform, independently drive technical decisions, and deliver scalable, reliable data solutions in a cloud-native environment.
Required qualifications
- Strong hands-on experience as a Data Engineer working with Google Cloud Platform (GCP).
- Solid experience with BigQuery, Dataform, Cloud Functions, Dataflow, GKE, and Docker.
- Advanced programming skills in Python and SQL.
- Experience designing and maintaining end-to-end data pipelines and data processing workflows.
- Strong understanding of cloud architecture, scalability, and data engineering best practices.
- Ability to work independently, take ownership of technical solutions, and drive initiatives with minimal supervision.
- Strong problem-solving and analytical skills.
- English level: Advanced or Fluent.
Nice to have
- Experience working in agile environments.
- Knowledge of data governance, monitoring, and observability practices.
- Experience supporting analytics, reporting, or machine learning workloads.