Data Engineer GCP (Governance)

What do we offer? Participation in a strategic data transformation project in a large telecommunications organization. Location: Warsaw – hybrid model (possibility of remote work) Rate: up to 155 PLN/h Start: ASAP Equipment: provided by the client Project Description Join a strategic data transformation project being carried out for a large Polish company from the telecommunications sector. The project involves migrating analytical environments from on-premise infrastructure to Google Cloud Platform (GCP) and building a modern data platform supporting business processes, analytics, and future use of AI/LLM solutions. In this role, you will be responsible for the development and implementation of Data Governance processes in the GCP environment, including metadata management, data cataloging, ensuring data quality, and implementing access standards and data accountability. You will collaborate with Data Engineering, BI, and business data owner teams. Recruitment Process CV Screening HR Interview Client Interview

Daily tasks

• Designing and implementing Data Governance processes and standards in the GCP environment.
• Building and developing a data catalog and managing metadata.
• Defining metadata models, data catalog structures, and relationships between objects.
• Implementing Data Lineage, Data Quality, and Data Ownership mechanisms.
• Creating and enforcing standards and policies for data access management.
• Collaborating with Data Engineering, BI, and business data owner teams.
• Supporting business users in searching for, understanding, and utilizing data.
• Participating in defining and implementing Data Contracts and data exchange standards.
• Preparing technical documentation, processes, standards, and data models.

Requirements

Must have: 3–5 years of experience in the GCP environment as a Data Engineer or Data Governance Engineer. 3–5 years of experience in the area of Data Governance, Data Management, or Data Quality. Practical knowledge of GCP - especially in the context of BigQuery, Dataplex, and Data Catalog. Advanced knowledge of SQL, supported by professional experience, including query optimization, creating aggregations, and index management. Experience in data modeling and working with metadata. Knowledge of Data Lineage, Data Quality, Data Stewardship, and Data Ownership issues. Experience in preparing technical documentation and code review. Ability to cooperate with business, technical, and analytical teams. Proactivity, responsibility, and a focus on data quality. English language proficiency at B1/B2 level. Nice to have:

Knowledge of Apache Spark, Python Experience with Kubernetes, Terraform Experience with Looker Knowledge of Vertex AI Experience in designing data architecture Knowledge of data processing in Batch and Streaming models Experience with CI/CD and monitoring/SLO Interest in AI/LLM solutions Experience in projects migrating analytical environments to the cloud

Must have: Google Cloud Platform, BigQuery, SQL

Nice to have: Apache Spark, Python, Kubernetes, Terraform, Looker, Vertex AI, CI/CD