Google Cloud & Knowledge Catalog Engineer

Description

The company is a global partner for AI-first digital transformation and engineering, with over 25 years of experience, about 5,000 staff, and teams in 16 countries.

It works across AI, data and cloud, intelligent automation and digital products, with a strong focus on engineering quality and its people.

The CEE unit has nearly 1,000 specialists who build applications, data platforms and AI solutions for clients, using AWS, Azure, GCP, Databricks and Snowflake.

Hiring runs in five steps: CV review, HR call, interview, client interview, then decision.

Responsibilities

• Set up, configure, build out and improve the Google Knowledge Catalog platform.
• Build integrations that pull in and sync metadata automatically.
• Create and maintain tools for enriching metadata and managing its lifecycle.
• Design and deliver data lineage and impact analysis.
• Connect the platform to enterprise access management and authorization.
• Define and apply Infrastructure as Code standards and automate deployments.
• Build technical pieces that support governance processes and data products.
• Run technical analyses, proofs of concept and development work.
• Put in place monitoring, reporting and operational controls.
• Write technical, operational and maintenance documentation.
• Support platform handover, operational readiness and knowledge transfer.
• Work with business analysts, governance teams and platform stakeholders.

Requirements

• Hands-on experience with Google Knowledge Catalog.
• You have built solutions on GCP.
• Skill in configuring platforms and integrating systems.
• Experience building enterprise data or metadata management solutions.
• Knowledge of data governance and metadata ideas.
• Experience building APIs and linking systems together.
• Experience with Infrastructure as Code and deployment automation.
• Experience writing technical documentation.
• Ability to run proofs of concept and technical analyses.
• Knowledge of access management and authorization ideas.
• Strong problem-solving and communication skills.
• Experience in multidisciplinary project teams.
• Experience implementing data lineage solutions.
• Knowledge of cloud monitoring and observability practices.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience in regulated industries.
• Experience supporting production handover and operational readiness.
• Experience delivering technical training and knowledge transfer sessions.

Conditions

You must work from the European Union region and hold a work permit.