описание
A leading global organisation is expanding its enterprise data ecosystem on Google Cloud Platform (GCP) as part of a strategic cloud transformation initiative. We are seeking a skilled and motivated Data Engineer to join the EMEA Data Engineering team in Poland. The role focuses on developing and enhancing core data platform capabilities, including data governance, metadata management, semantic modelling, and self-service analytics. Working closely with engineering, architecture, governance, and business teams across EMEA and globally, you will help build a scalable, secure, and governed data platform that enables trusted and accessible data-driven decision-making.
задачи
- Design, develop, and maintain GCP data platform capabilities, focusing on governance, metadata management, semantic modelling, and analytics.
- Support the migration of on-premises databases and datasets to GCP, ensuring data integrity, security, and performance.
- Develop reusable semantic models and data products to enable consistent and scalable data consumption.
- Collaborate with data engineers, analysts, architects, and business stakeholders to deliver platform solutions.
- Optimize development automation and CI/CD pipelines.
- Implement data governance, metadata quality, data discovery, and lineage practices using GCP Dataplex and Knowledge Catalog.
- Monitor and optimize platform performance, availability, security, and cost-efficiency.
- Contribute to the evolution of cloud data architecture, engineering standards, and self-service analytics capabilities.
требования
- Strong hands-on experience with Google Cloud Platform, particularly BigQuery, Dataplex, Knowledge Catalog, and Cloud IAM.
- Proficiency in Python and SQL.
- Experience with data modelling, data warehousing, data lakes, and semantic models, ideally using Looker/LookML.
- Understanding of data governance, metadata management, data quality, and security best practices.
- Familiarity with relational and NoSQL databases.
- Knowledge of CI/CD, DevOps, and Infrastructure as Code principles.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a global, collaborative environment.
- Excellent written and spoken English.
- Degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.
- 3–6 years of relevant Data Engineering experience, including at least 1 year working with GCP.
- Будет плюсом: GCP Data Engineer or Cloud Architect certification is an advantage; Experience with Terraform and DevOps practices is desirable; Experience with GIS data or commercial real estate is an advantage
условия
- Условий в вакансии нет
