Xebia Poland

Senior GCP Data Engineer

Xebia Poland

full-time

Posted on:

Location Type: Remote

Location: Bulgaria

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Job Level

Senior

Tech Stack

AirflowApacheAWSBigQueryCloudETLGoogle Cloud PlatformNoSQLPythonSparkSQLTableau

About the role

  • 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
  • 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, especially BigQuery, for large-scale data processing and optimization
  • Experience with orchestration tools like Apache Airflow or similar
  • 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
  • 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.).
Benefits
  • Work from the European Union region and a work permit are required.
  • Candidates must have an active VAT status in the EU VIES registry.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesETL processesdata transformationdata warehousingPythonGCPBigQueryApache Airflowdbtdata modeling
Soft Skills
collaborationcommunicationproblem-solvingdata governancedocumentation
Certifications
AWS Certified Data AnalyticsGoogle Professional Data Engineer