Senior Data Engineer (GCP)
Xebiacee · Bulgaria; Poland; Romania
The posting
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 McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, 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 supporting the migration to BigQuery,
- responsible for ingestion, transformation, orchestration, monitoring, and optimization of data processing workloads,
- delivering production-grade data products that serve reporting, analytics, and business intelligence needs,
- collaborating with Analytics Engineers, Architects, and business stakeholders to ensure successful migration and long-term platform sustainability.
Your profile
- strong Python and SQL skills,
- hands-on experience with Google BigQuery (including optimization and performance tuning),
- experience with building and maintaining ELT/ETL pipelines,
- experience in processing structured and semi-structured data,
- data modeling and schema design skills,
- experience with orchestration tools such as Airflow or Composer,
- experience with Git and CI/CD practices,
- experience with dbt,
- data quality, validation, and monitoring experience,
- understanding of cloud-native data architectures,
Work from the European Union region and a work permit are required.
Nice to have
- experience with migration projects from legacy platforms,
- infrastructure as Code knowledge,
- experience with APIs and external data ingestion,
- knowledge of data governance, lineage, and metadata management ,
- experience with monitoring and observability frameworks
Recruitment Process
CV review – HR call – Interview – Client Interview – Decision
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Scientist → Data Engineer53% readiness
- Solutions Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer41% readiness
- All open data engineer rolesthe full board
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