Senior GCP Data Engineer

December 21, 2024

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Logo of Xebia Poland

Xebia Poland

Xebia Poland is a pioneering software engineering and IT consultancy company, specializing in providing transformative digital solutions across a variety of industries. They focus on digital strategy, agile transformation, cloud services, data and AI integration, DevOps, and intelligent automation. As an early adopter and global partner of GitHub, Xebia leverages cutting-edge technologies to drive digital transformation for their clients. With a strong emphasis on creating digital leaders, Xebia serves a global clientele, offering consulting, training, nearshoring, offshoring, and managed services. Their mission includes simplifying AI integration in software development, enhancing productivity, and advancing software engineering practices.

Software Development β€’ Agile Development β€’ DevOps β€’ Scrum β€’ Mobile Applications

πŸ“‹ Description

β€’ 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. β€’ Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers. β€’ You will be: β€’ working with various clients globally, delivering software systems and best practices for scalable and robust solutions β€’ engineering data platforms for scale, performance, reliability, and security β€’ integrating data sources and optimizing data processing β€’ proactively addressing challenges, resolving blockers, and driving effective communication across distributed teams β€’ continuously seeking opportunities to enhance data systems and ensuring alignment with evolving business needs.

🎯 Requirements

β€’ available to start immediately β€’ 5+ years in a senior developer role, with hands-on experience in building data processing pipelines β€’ proficiency with GCP services, especially BigQuery and BigQuery SQL, for large-scale data processing and optimization β€’ extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization β€’ knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing β€’ strong Python proficiency, with expertise in modern data libraries and frameworks (e.g., Databricks, Snowflake, Spark, SQL) β€’ experience with unit testing, pre-commit checks, and strict type enforcement for data pipelines β€’ deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts β€’ excellent command of oral and written English β€’ Work from the European Union region and a work permit are required

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