Senior GCP Data Engineer: BigQuery, Kafka & Data Pipelines

Poland and Central-Eastern Europe; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Xebia is a global AI-first, digital transformation, and engineering partner. We are seeking a data engineering specialist to design, build and maintain scalable data pipelines on GCP, leveraging BigQuery, dbt and Kafka to support real-time and batch processing.

You will model data, ensure data quality and governance, migrate legacy systems to cloud architectures, and collaborate with Data Architects, Platform Engineers and Analytics teams across multi‑team environments.

Qualifications

• Hands-on experience with BigQuery and data modeling concepts.
• Experience with dbt for transformations and modeling.
• Proficient in SQL and Python.
• Experience with cloud data platforms, preferably GCP.

Responsibilities

• designing, building and maintaining scalable data pipelines on GCP,
• developing and optimizing data models using BigQuery and dbt,
• building and managing real-time and batch data processing using Kafka,
• ensuring data quality, consistency, and reliability across pipelines,
• supporting migration of legacy data systems into modern cloud-based architecture,
• collaborating with Data Architects, Platform Engineers, and Analytics teams,
• enabling self-service data capabilities for internal consumers (data products mindset),
• implementing monitoring, logging, and observability for data pipelines,
• optimizing performance and cost of data workloads in GCP,
• contributing to best practices in data governance and data engineering standards.

Skills

BigQuery

dbt

Kafka

SQL

Python

Cloud data platforms (GCP)

Data modeling concepts (DWH/ELT/ETL)

Multi-team collaboration

Ownership mindset

Problem-solving

Tools

Airflow

Cloud Composer

Job description

Xebia is a global AI-first, digital transformation, and engineering partner. We are seeking a data engineering specialist to design, build and maintain scalable data pipelines on GCP, leveraging BigQuery, dbt and Kafka to support real-time and batch processing.

You will model data, ensure data quality and governance, migrate legacy systems to cloud architectures, and collaborate with Data Architects, Platform Engineers and Analytics teams across multi‑team environments.