👉 Lead/ Senior GCP Data Engineer with Airflow

🟣You will be:

• developing and maintaining data pipelines to ensure seamless data flow from the Loyalty system to the data lake and data warehouse,
• collaborating with data engineers to ensure data engineering best practices are integrated into the development process,
• 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, into the data lake,
• 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.

🟣 Your profile:

• 7+ years in a data engineering role, with hands-on experience in building data processing pipelines,
• experience in leading the design and implementing of data pipelines and data products,
• 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,
• practical experience with dbt for data transformation,
• 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. 

🟣 Nice to have:

• experience with ecommerce systems and their data integration,
• knowledge of data visualization tools (e.g., Tableau, Looker),
• understanding of machine learning and data analytics,
• certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).

🟣 Recruitment Process: CV review – HR Call – Tech Interview – Client Interview – Decision



🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,
• contract for an indefinite period.