Find Databricks data Jobs in Dublin, D

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
6d
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
5d
Finance Transformation Programme Manager
Aer Lingus —Dublin, County Dublin
- ERP systems
- English
- Analysis skills
Success Architect - Agentforce/Data Cloud (French Speaker)
Salesforce —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Salesforce
- Java
12h
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Data Director - Healthcare Data Modernisation (Azure & Fabric) - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
- Full-time
- Azure
- AI
- Leadership
Software Engineer, Lake & Warehouse Infrastructure
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- SQL
- AWS
Quick apply
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
11d
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
12d
Business Development Representative
Fivetran —Dublin, County Dublin
- Full-time
- Sales
- Research
- No degree
- Annual leave
- Sick pay
Quick apply
Vice President. Client Partner. Banking & Capital Markets.
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Management
Maximo Consultant
Nucleo Consulting Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Commercial Legal Counsel - EMEA
DoiT —Dublin, County Dublin
- Remote
- Azure
- Doctoral degree
- Sales
- Annual leave
Quick apply
13d
Forward Deployed Engineer - Greek Speaker
Salesforce —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- DevOps
Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- AWS
- Analysis skills
3d
Senior Maximo Consultant
Nucleo Consulting Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Project Manager D&A
Primark —Dublin, County Dublin
- Communication skills
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply

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Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
Ability to travel to New Haven, CT ~4x/year, 2–4 weeks per trip, to work face to face with laboratory practitioners and gain hands on familiarity with equipment…
5d

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Lead DevOps Engineer – AI & Data (Foundation Models)

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
6 days ago

Qualifications

CI/CD
Azure
Kubernetes
DevOps
Google Cloud Platform
AWS
Docker
Continuous improvement
Terraform
AI

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead DevOps Engineer – AI & Data (Foundation Models)

Overview
Mastercard is seeking a DevOps Engineer to support a strategic AI engineering team focused on foundation model development and AI use case delivery. This role is responsible for enabling reliable, scalable, and automated deployment of AI systems—ensuring models and supporting services can move efficiently from development to production.
You will work closely with AI engineers, data engineers, and software engineers to build and maintain the CI/CD pipelines, cloud infrastructure, and runtime environments required to support production AI workloads. This role is critical in ensuring that AI solutions are delivered with strong standards for reliability, security, and operational excellence.

Role
In this role, you will be responsible for building and operating the infrastructure and deployment pipelines that enable AI systems at scale.
Key responsibilities include:

Design and maintain CI/CD pipelines for AI and data workloads, supporting model training, testing, and deployment
Automate build, deployment, and release processes across environments, ensuring consistency and reliability
Manage and optimise cloud infrastructure (primarily AWS, with flexibility across cloud platforms) to support AI and data workloads
Support deployment and operation of AI models, including inference services, batch jobs, and data pipelines
Collaborate with data and AI engineers to streamline development-to-production workflows, reducing friction and cycle time
Implement monitoring, logging, and alerting to ensure system observability and rapid issue resolution
Ensure systems are designed for high availability, resilience, and performance
Embed security best practices into deployment pipelines, including secrets management, access control, and secure configuration
Support Databricks environments and workflows where applicable, including job orchestration and integration with data pipelines
Contribute to troubleshooting production issues and participating in incident response and post‑incident improvements
Promote DevOps best practices, including infrastructure as code, automation, and continuous improvement

All About You
5-8 years of experience in a DevOps, platform engineering, or similar role supporting production systems
Strong experience building and maintaining CI/CD pipelines in production environments
Hands‑on experience with cloud platforms, particularly AWS (experience with Azure or GCP also valuable)
Experience with infrastructure as code tools (e.g. Terraform, CloudFormation, or similar)
Familiarity with containerisation and orchestration (e.g. Docker, Kubernetes)
Experience supporting data and AI workloads, including model deployment pipelines, batch processing, or streaming jobs
Working knowledge of monitoring and observability tools (e.g. logging, metrics, tracing)
Experience with Databricks or similar data platforms is a strong plus
Strong understanding of software delivery practices, version control, and automated testing
Familiarity with security best practices in cloud and CI/CD environments (e.g. secrets management, IAM, least privilege access)
Strong problem‑solving skills and ability to work in a collaborative, fast‑moving environment
Clear communicator, able to work effectively with engineering, data, and platform teams

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

Refine Your Search

databricks data jobs in dublin, d

Lead DevOps Engineer – AI & Data (Foundation Models)

Principal Data Product Engineer — Data Ontology & Metadata

Finance Transformation Programme Manager

Success Architect - Agentforce/Data Cloud (French Speaker)

Lead Software Engineer

Data Director - Healthcare Data Modernisation (Azure & Fabric) - Data & AI - Technology Consulting - Advisory

Software Engineer, Lake & Warehouse Infrastructure

Partner Solutions Architect

Director, Game Science & Insights

Business Development Representative

Vice President. Client Partner. Banking & Capital Markets.

Maximo Consultant

Commercial Legal Counsel - EMEA

Forward Deployed Engineer - Greek Speaker

Lead Security Engineer

Senior Maximo Consultant

Project Manager D&A

Data Engineer

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