Senior GCP Data Engineer

Poland and Central-Eastern Europe; United States; Teletrabalho; USD 110 000 - 170 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

BigQuery

dbt

Kafka

SQL

Python

Cloud data platforms (GCP)

Data modeling concepts (DWH/ELT/ETL)

Multi-team collaboration

Ownership mindset

Problem-solving

Ferramentas

Airflow

Cloud Composer

Descrição da oferta de emprego

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