Top Database Jobs in Dublin

Identify and qualify new sales opportunities by running inbound and outbound campaigns, engaging IT and business decision-makers in Italian and English, updating Salesforce, setting qualified meetings for Account Executives, and exceeding monthly opportunity quotas while developing product and sales knowledge.

Identify and qualify high-potential accounts for sales, run outbound campaigns, engage IT and business decision-makers, update Salesforce, set qualified meetings, nurture early opportunities, and exceed monthly and quarterly quotas while collaborating with partners and regional sales.

Lead enterprise architecture for Digital Workflows, managing multiple teams and cross-product initiatives. Drive ServiceNow adoption, provide strategic direction, interface with senior stakeholders, and deliver firmwide architecture objectives while championing inclusion.

Investigate complex customer escalations involving Datadog Database Monitoring, lead technical calls, and perform root-cause analysis. Debug Datadog Agent integrations and database environments across cloud and self-hosted deployments. Partner with Engineering and Product to improve integrations, code, telemetry, documentation, and releases. Create runbooks and debugging frameworks, deliver training and office hours, mentor Global Support Engineering, and advocate for customer needs.

Own the full sales cycle for developer-focused startups, from lead generation through close. Conduct technical discovery, align solutions with business outcomes, collaborate with Sales Engineers and Product on demonstrations, educate technical buyers, build pipeline, and achieve revenue targets. The role also supports customer onboarding and contributes to defining modern sales practices in a fast-paced, globally distributed startup environment.

Manage and grow a Database Engineering team responsible for backend infrastructure (databases and streaming). Hire, mentor, and evaluate engineers; drive architectural decisions and cross-functional roadmaps with Product, Design, and other teams. Promote an inclusive, high-performing culture and ensure scalability, reliability, and strong developer experience.

Provide day-to-day technical support and lifecycle management for control systems at a GMP API manufacturing site. Plan and deliver control system upgrades/projects, troubleshoot PLC/HMI/SCADA/batch systems, drive continuous improvement, manage change control/validation activities, and support OT on-call duties while ensuring compliance with GxP and EHS requirements.

Develop and evolve a scalable database tooling platform used by internal engineering teams. Responsibilities include designing reliable software and APIs, supporting cloud-based database deployments, collaborating across teams, reviewing code and designs, mentoring engineers, and assisting customer-facing teams. The role focuses on Python-based tooling, MySQL and NoSQL databases, Kubernetes, Redis, and large-scale production services.

Administer and optimize internal and customer databases across SQL Server, Azure SQL Database, and PostgreSQL. Design and manage cloud database infrastructure, automate administrative tasks with PowerShell and Python, monitor performance, resolve incidents, and ensure database security and compliance. Collaborate with engineering teams on scalable database solutions, provide subject-matter expertise during customer incidents, mentor engineers, and contribute to architectural decisions and database projects.

Deliver database upgrade services for cloud migrations, automate upgrade tooling, analyze and resolve data/code issues, mentor junior staff, achieve Guidewire product certification, and collaborate with customers to ensure timely, high-quality delivery.

Design, optimize, and scale MongoDB and AWS RDS MySQL/Aurora database platforms. Manage database deployments in Kubernetes and EKS, develop data models and indexing strategies, optimize queries, monitor performance, manage schema versioning with GitHub and Flyway, and support migrations, security, disaster recovery, and platform reliability.

Provide expert PostgreSQL support to customer DBA teams: gather diagnostics, troubleshoot production issues, perform live remediation, write knowledge-base content, host webinars, and contribute to the open-source community. Participate in monitoring, backup/restore, HA, zero-downtime procedures, and occasional travel for meetings or customer visits.

Design, develop, and maintain Oracle databases to support clinical research. Collaborate with cross-functional teams to gather requirements, implement data models and schemas, optimize performance, and troubleshoot database issues. Aggregate data from data marts for downstream reporting (Power BI, Tableau, OBIEE) and ensure regulatory compliance. Provide technical support and participate in late-shift overlap with EST as needed.

Operate and scale high-throughput MariaDB/MySQL clusters supporting globally distributed financial services. Responsibilities include database tuning, replication, high availability, disaster recovery, backups, automation, observability, security, containerized deployments, infrastructure-as-code, and partnership with engineering teams. The role also participates in on-call rotations and improves operational reliability through SRE practices, documentation, measurable KPIs, and preventative engineering.

The Database SRE will ensure the reliability of the RDS footprint, architect cloud portability, monitor performance, and implement disaster recovery strategies.

As a Database Administrator at Air Apps, you will manage and optimize complex databases, work with engineering teams, and ensure data integrity and security.

Own and improve large-scale, highly available database architectures across regions. Automate operations with Go/Python, handle performance tuning, capacity planning, backup/recovery, security audits, monitoring (SLO-based alerting), schema changes, data migrations, and collaborate with dev teams on optimization and troubleshooting.

Design, develop, and maintain Oracle and Snowflake database systems, optimize performance, implement CI/CD pipelines with Jenkins, create stored procedures and data models, enforce security, perform backups and recovery, troubleshoot issues, and mentor junior database developers.

Design, develop, and maintain Oracle and Snowflake databases, implement PL/SQL procedures, optimize performance, enforce security, manage backups and recovery, build CI/CD pipelines with Jenkins, support integrations with applications, and mentor junior developers.

Design, develop, optimize, and maintain Oracle and Snowflake database systems. Build PL/SQL objects, implement CI/CD with Jenkins, perform performance tuning, ensure security, support backups/recovery, and mentor junior DB developers.

Design, develop, and maintain Oracle database systems and PL/SQL code. Optimize performance and availability, implement CI/CD with Jenkins, ensure security, perform backups/recovery, model data, troubleshoot issues, and mentor junior engineers.

Design, implement, and optimize high-performance MongoDB and MySQL/Aurora databases on AWS. Manage RDS/Aurora, support deployments via EKS/Kubernetes, handle schema versioning with GitHub and Flyway, monitor with CloudWatch/Datadog, ensure security, DR readiness, and support cross-platform migrations alongside development teams.

Invitation to join Space Rangers' global contractor and freelance talent pool for games roles. Candidates complete a short form; details are stored and the Talent Team will contact suitable matches for contract opportunities worldwide.

Own and architect the data layer for payment and AI-agent platforms: administer and optimize PostgreSQL databases, design backup/recovery and DR strategies, automate provisioning with Terraform, execute data migrations, build monitoring and alerts, mentor engineers, and drive performance, scalability, security, and high availability for production systems on AWS.

Lead and mentor the database programming (DBP) team to design, build, validate and maintain clinical study databases and data checks (SAS and computerized) from study startup through delivery, ensuring compliance with ICH/GCP and company standards, supporting data imports, mid-study changes, reporting, and process improvements.