Senior Data Engineer, PostgreSQL DBA

This is a fully remote position, open to applicants in United Kingdom, +1 more country.

📋 Description

• Oversee and enhance the performance, security, and availability of PostgreSQL, SQL Server, and Oracle databases.

• Design and maintain database structures, including schemas, indexes, and partitions, to ensure scalability and efficiency.

• Conduct database monitoring, as well as backup, recovery, and disaster recovery planning.

• Enforce access control, encryption, auditing, and other best practices for security.

• Diagnose and resolve database performance challenges while optimizing query effectiveness.

• Ensure adherence to data governance, security policies, and industry regulations.

• Engage in daily standup meetings and prioritize tasks based on business requirements.

• Convert business needs into actionable data engineering assignments.

• Collaborate with cross-functional teams to align Power BI and data solutions with overall business goals.

• Mentor colleagues and advocate for best practices in data management and reporting.

• Assess and implement AI and automation to enhance delivery speed, testing, reliability, and operational efficiency.

⛳️ Requirements

• Demonstrated expertise in PostgreSQL database administration, focusing on performance tuning, security, and backup/recovery processes.

• Proven experience in managing PostgreSQL, SQL Server, and Oracle databases.

• Exceptional communication and leadership abilities for collaboration with both technical and non-technical teams.

• Capability to prioritize and manage the workload of a team while advancing business objectives.

• Strong problem-solving skills with meticulous attention to detail.

• Significant hands-on experience with modern AI models and developer tools.

• Proficiency in utilizing AI for PostgreSQL performance tuning, database reliability validation, migration planning, and operational runbook automation.

• Experience in applying AI to testing workflows, including generating test scenarios, expanding regression coverage, and identifying edge cases.

• Proven track record of developing practical automation while ensuring quality, security, and auditability.

• Ability to evaluate the quality of AI output, select suitable models/tools, and implement secure practices for sensitive data.

• History of achieving measurable efficiency improvements.

• Willingness to work during US EST hours.

• Resume must be submitted in English.

🏝️ Benefits

• Remote work option available.

• Opportunity to engage in groundbreaking healthcare innovation.

• A dynamic and innovative work atmosphere.

• Chance to contribute to advancements in global health.

• Career growth potential with M3 USA/M3 Global Research.