GCP Data Engineer

Xebia Group; Polska; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Xebia Group in the EU seeks a Data Engineer to design and build scalable data pipelines on GCP, implement data quality controls with dbt Core, and collaborate with data modelers and analysts.

You will migrate legacy data quality checks, optimize BigQuery workloads, and contribute to documentation and testing across cross-functional teams. EU region work permit and work from EU are required.

Qualifications

• Proven experience as a Data Engineer.
• Experience building and maintaining data pipelines.
• Experience with ETL/ELT processes.
• Experience with modern data platforms.
• Experience with data migration and transformation activities.
• Knowledge of Data Quality monitoring concepts.
• Experience with system integrations and data processing workflows.
• Strong analytical and problem-solving skills.
• Ability to work effectively in cross-functional teams.
• Experience with GCP, including BigQuery.
• Experience with dbt Core.

Responsibilities

• Building and developing data pipelines and ELT processes.
• Implementing Data Quality metrics in DBT.
• Migrating Data Quality controls from the legacy environment.
• Preparing mappings between existing and target solutions.
• Developing controls using BigQuery.
• Building repositories for Data Quality monitoring results.
• Integrating solutions with GCP platform services.
• Optimizing performance of Data Quality executions.
• Supporting technical and business testing activities.
• Contributing to technical and operational documentation.
• Working closely with Data Modelers, Business Analysts, and Test Engineers.

Skills

Analytical thinking

Problem solving

Cross-functional teamwork

Data engineering experience

Tools

GCP

BigQuery

dbt Core

ETL/ELT

Databricks

Snowflake

Job description

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:

• Building and developing data pipelines and ELT processes.
• Implementing Data Quality metrics in DBT.
• Migrating Data Quality controls from the legacy environment.
• Preparing mappings between existing and target solutions.
• Developing controls using BigQuery.
• Building repositories for Data Quality monitoring results.
• Integrating solutions with GCP platform services.
• Optimizing performance of Data Quality executions.
• Supporting technical and business testing activities.
• Contributing to technical and operational documentation.
• Working closely with Data Modelers, Business Analysts, and Test Engineers.

Your profile:

• Proven experience as a Data Engineer.
• Experience building and maintaining data pipelines.
• Experience with ETL/ELT processes.
• Experience working with modern data platforms.
• Experience with data migration and transformation activities.
• Knowledge of Data Quality monitoring concepts.
• Experience with system integrations and data processing workflows.
• Strong analytical and problem-solving skills.
• Ability to work effectively in cross-functional teams.
• Experience with GCP, including BigQuery.
• Experience with dbt Core.

Work from the European Union region and a work permit are required.

Nice to have:

• Experience migrating legacy data solutions to cloud environments.
• Experience in banking or other regulated industries.
• Familiarity with testing and validation of data solutions.
• Experience creating technical documentation.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision