Senior GCP Data Engineer

Responsibilities

You will design, build, and maintain scalable data pipelines on GCP while developing and optimizing data models using BigQuery and dbt. Additionally, you will manage real-time and batch data processing using Kafka and ensure data quality across all pipelines.

Requirements

The role requires strong hands-on experience with BigQuery, dbt, and Kafka, along with proficiency in SQL and Python. Candidates must have a solid understanding of data modeling concepts and experience working in complex, multi-team environments.

Skills

• GCP
• BigQuery
• Dbt
• Kafka
• SQL
• Python
• Data Pipelines
• Data Modeling
• Cloud Data Platforms
• ETL
• ELT
• Data Governance
• Data Engineering
• Cloud Migration
• Performance Optimization

About this role

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
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.
Your profile:
strong hands-on experience with BigQuery,
solid experience with dbt (data transformations, modeling),
experience working with Kafka (streaming data pipelines),
strong skills in building data pipelines (batch and/or streaming),
very good knowledge of SQL and Python,
experience with cloud data platforms (preferably GCP),
understanding of data modeling concepts (DWH, ELT/ETL),
experience working in complex, multi-team environments,
strong problem-solving skills and ownership mindset,
good communication and collaboration skills.
Work from the European Union region and a work permit are required.
Nice to have:
experience in cloud migration projects,
familiarity with orchestration tools (e.g. Airflow, Cloud Composer),
experience with real-time analytics use cases,
exposure to self-service data platforms / data products,
knowledge of cost optimization in BigQuery,
experience in large-scale enterprise transformations GCP certifications (e.g. Professional Data Engineer),
experience working in international distributed teams.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision