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 • Agile Development • DevOps • Scrum • Mobile Applications
GCP Data Engineer - Airflow
January 25
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 • Agile Development • DevOps • Scrum • Mobile Applications
📋 Description
• As a Data Engineer at Xebia, you will work closely with engineering, product, and data teams to deliver scalable and robust data solutions • Designing, building, and maintaining data platforms and pipelines • Developing and maintaining data pipelines to ensure seamless data flow from the Loyalty system to the data lake and data warehouse • Ensuring data integrity, consistency, and availability across all data systems • Integrating data from various sources, including transactional databases, third-party APIs, and external data sources • Implementing ETL processes to transform and load data into the data warehouse for analytics and reporting • Working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions • Collaborating with data engineers to ensure data engineering best practices are integrated into the development process • Optimizing data storage and retrieval to improve performance and scalability • Monitoring and troubleshooting data pipelines to ensure high reliability and efficiency • Implementing and enforcing data governance policies to ensure data security, privacy, and compliance • Developing documentation and standards for data processes and procedures
🎯 Requirements
• 5+ years in a data engineering role, with hands-on experience in building data processing pipelines • Proficiency with GCP services, 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) • Hands-on experience with ETL tools and processes • Deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts • Excellent command of oral and written English • Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field • Work from the European Union region and a work permit are required
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