Senior GCP Data Engineer

February 11

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Xebia

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Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.

IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation

5001 - 10000 employees

🤝 B2B

💳 Fintech

📋 Description

• As a Senior Data Engineer at Xebia, you will work closely with engineering, product, and data teams to deliver our clients scalable and robust data solutions • Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers • working with various clients globally, delivering software systems and best practices for scalable and robust solutions • engineering data platforms for scale, performance, reliability, and security • integrating data sources and optimizing data processing • proactively addressing challenges, resolving blockers, and driving effective communication across distributed teams • continuously seeking opportunities to enhance data systems and ensuring alignment with evolving business needs.

🎯 Requirements

• available to start immediately • 5+ years in a senior developer role • hands-on experience in building data processing pipelines • proficiency with GCP services, especially BigQuery and BigQuery SQL, for large-scale data processing and optimization • extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization • knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing • strong Python proficiency, with expertise in modern data libraries and frameworks (e.g., Databricks, Snowflake, Spark, SQL) • experience with unit testing, pre-commit checks, and strict type enforcement for data pipelines • deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts • excellent command of oral and written English • Work from the European Union region and a work permit are required • Nice to have: expertise in optimizing BigQuery performance using tools like Query Profiler and addressing compute resource bottlenecks, prior experience developing or testing custom operators in Apache Airflow, familiarity with Docker, Kubernetes, Helm, Terraform, Kafka, and CI/CD pipelines for data environments.