Data Engineer -GCP & BigQuery Expert

About the job

We are looking for an experienced and hands-on Data Engineer to lead the migration of enterprise data platforms to Google Cloud Platform (GCP).

In this role, you will design, build and maintain scalable ETL/ELT pipelines, develop advanced data models in BigQuery and contribute to the creation of a high-performance, reliable and cost-efficient data architecture.

You will work closely with analysts, data scientists and engineers and have real impact on how data is consumed across the organization.

What You Will Do

• Lead the migration of data from on-premise core systems to Google Cloud Platform (GCP).
• Design and develop processed data layers (Silver and Gold) and data marts in BigQuery, including complex business logic.
• Build, orchestrate and maintain data pipelines using Cloud Composer / Apache Airflow.
• Develop robust data transformations, including cleansing, enrichment and data quality improvements.
• Write efficient and optimized SQL queries in BigQuery with strong focus on performance and cost.
• Create and maintain clear and up-to-date technical documentation for data architecture and processes.

• 3+ years of hands-on experience as a Data Engineer.
• Strong experience working with Google Cloud Platform (GCP) - mandatory.
• Proven experience with BigQuery, including data modeling, complex SQL and performance optimization - mandatory.
• Strong Python skills for ETL/ELT and data transformations.
• Experience with orchestration and workflow management tools such as Cloud Composer, Apache Airflow or similar.
• Experience working with Cloud Storage (GCS) and additional GCP data services such as Cloud SQL, Data Lakes and storage solutions.

Nice to Have

• Experience with GCP streaming technologies such as Cloud Pub/Sub and Dataflow.
• Familiarity with Git and CI/CD processes.
• Previous experience migrating data from legacy systems such as Mainframe or Oracle to the cloud.

Personal Skills

• Ability to work independently and lead projects end-to-end.
• Proactive mindset with strong technical curiosity and continuous learning attitude.
• Strong collaboration skills and ability to work with cross-functional teams.

Requirements

• 3+ years of hands-on experience as a Data Engineer.
• Strong experience working with Google Cloud Platform (GCP) - mandatory.
• Proven experience with BigQuery, including data modeling, complex SQL and performance optimization - mandatory.
• Strong Python skills for ETL/ELT and data transformations.
• Experience with orchestration and workflow management tools such as Cloud Composer, Apache Airflow or similar.
• Experience working with Cloud Storage (GCS) and additional GCP data services such as Cloud SQL, Data Lakes and storage solutions.

Nice to Have

• Experience with GCP streaming technologies such as Cloud Pub/Sub and Dataflow.
• Familiarity with Git and CI/CD processes.
• Previous experience migrating data from legacy systems such as Mainframe or Oracle to the cloud.

Personal Skills

• Ability to work independently and lead projects end-to-end.
• Proactive mindset with strong technical curiosity and continuous learning attitude.
• Strong collaboration skills and ability to work with cross-functional teams.

The position is open for all genders as well as people with disabilities.