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Database Administrator

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Onsite

Database Administrator

Adecco

Database Administrator

Skills

Google Cloud PlatformSQL QueriesMySQLGoogle BigQueryOracleDatabase Administration

7 days ago

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Important information


Contract type:

Permanent

Location:

Bucharest, Romania

Work mode:

Onsite

Published on:

14 October 2026

What they need


🚀 We’re Hiring | Database Administrator

Are you an experienced database specialist with strong knowledge of Google BigQuery and database administration? We’d love to hear from you!

We are looking for a Database Administrator to support the administration, optimization, performance, and security of database environments across on-premise infrastructure and Google Cloud.

🔹 Key Responsibilities:

  • Design, administer, and maintain database architectures across on-premise and cloud environments.
  • Work with Google BigQuery , Google Cloud SQL, and ideally BigLake (Lakehouse).
  • Administer MySQL and Oracle databases, including schemas, tables, stored procedures, and access permissions.
  • Monitor database performance, availability, replication, and data integrity.
  • Implement and manage backup, recovery, and disaster recovery procedures.
  • Optimize database performance, capacity, and resource utilization.
  • Support database upgrades, security policies, documentation, and continuous improvement initiatives.

🔹 What We’re Looking For:

  • Minimum 5 years of experience in database administration or a similar role.
  • Advanced knowledge of Google BigQuery , with hands-on experience in Google Cloud data environments.
  • Advanced knowledge of MySQL and/or Oracle.
  • Experience with Google Cloud SQL; knowledge of BigLake (Lakehouse) is an advantage.
  • Strong understanding of database performance tuning, backup and recovery, replication, and security.
  • Good communication and collaboration skills.

⭐ BigQuery expertise is a key requirement for this role , so we are particularly interested in professionals who have hands-on experience working with Google BigQuery and cloud-based database solutions.

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