Find Sr. software engineering manager – infrastructure Jobs in Dublin, D

Lead Data Engineer – AI & Foundation Models
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
Senior Manager, Global Campaigns - SMB
Bentley Systems —DUBLIN 2, County Dublin
9d
Senior Cybersecurity Engineer, Enterprise Identity
Autodesk —Dublin, County Dublin
- €57,400–€84,150 a year
- Full-time
- Azure
- Computer Science
- DevOps
3d
SRE- Availability Engineer
eBay Inc. —Dublin, County Dublin
- Weekend availability
- Computer Science
- Java
- Bachelor's degree
6d
Senior Director, Product Design
Bentley Systems —DUBLIN 2, County Dublin
- AI
Principal/Senior Railway Permanent Way Engineers
Roughan & O'Donovan —Dublin, County Dublin
- English
- Analysis skills
- Project management
Backend & DevOps Lead
Vodafone —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Java
- SQL
5d
Product Lifecycle Electrical Engineer, Data Center Engineering - Electrical Products and Services (DCE-EPS)
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Continuous improvement
5d
Partner Solution Consultant
New Relic —Dublin, County Dublin
- Hybrid work
- Communication skills
- Negotiation
Project Quantity Surveyor:Buildings
AECOM —Dublin, County Dublin
- Full-time
- Hybrid work
- No degree
9d
Civil Design Engineer (Water)
Egis —Dublin, County Dublin
- Hybrid work
- AutoCAD
- System design
- Supervising experience
9d
Bridge Design Engineer - Dublin or Cork
Roughan & O'Donovan —Dublin, County Dublin
- English
- Analysis skills
- Internship
Senior Traffic Management Designer
GMC Utilities Group —Dublin, County Dublin
- Full-time
- AutoCAD
- CAD
- Construction experience
Quick apply
Senior Technical Program Manager Atlas Clusters
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- Analysis skills
Manager, Site Reliability Engineering - Storage Layer Service
MongoDB —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Azure
- AWS
Senior Software Developer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- Mentoring
- Agile
Quick apply
Software Engineer 3
MongoDB —Dublin, County Dublin
- Hybrid work
- Computer science
- Azure
- Java
Senior Manager, Platform Engineering
Prove —Dublin, County Dublin
- €120,000–€140,000 a year
- Remote
- Computer Science
- System design
- Java
- Employee assistance program
5d
Director of Software Engineering
JPMorganChase —DUBLIN 1, County Dublin
- Full-time
- System design
- AI
- SDLC
6d
Director of Cloud, Enterprise Operations
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- English
5d

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Lead Data Engineer – AI & Foundation Models

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Data modelling
Azure
Computer Science
Spark
Google Cloud Platform
SQL
AWS
Bachelor's degree
Mentoring
AI
Analytics

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 Data Engineer – AI & Foundation Models

Overview
Mastercard is seeking a Lead Data Engineer to design, build, and operate the data foundations that power a strategic AI program within the AI & Data organization. This role is responsible for ensuring that high‑quality, well‑governed, and scalable data is available to support foundation models, AI platforms, and downstream use cases.
As a technical lead, you will own end‑to‑end data engineering delivery across the program—partnering closely with AI engineers, software engineers, and product teams to ensure data pipelines, feature assets, and analytical datasets are production‑ready, reliable, and aligned with enterprise standards.

Role
In this role, you will lead the development and operation of data pipelines and data products that enable AI model training, inference, and evaluation.
Key responsibilities include:

Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
Drive best practices for data modeling, schema management, partitioning, and performance optimization
Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
Support secure data access patterns, including environment isolation, access controls, and auditability
Lead code reviews and design reviews for data engineering deliverables across the program
Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight
Contribute to program‑level planning by estimating effort, identifying dependencies, and managing delivery risks related to data availability

All About You

Strong experience designing and building production‑grade data pipelines in large‑scale environments
Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
Ability to translate AI and product requirements into practical, scalable data solutions
Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders
Bachelor’s degree or equivalent practical experience in computer science, engineering, or a related field

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

sr. software engineering manager – infrastructure jobs in dublin, d

Lead Data Engineer – AI & Foundation Models

Senior Manager, Global Campaigns - SMB

Senior Cybersecurity Engineer, Enterprise Identity

SRE- Availability Engineer

Senior Director, Product Design

Principal/Senior Railway Permanent Way Engineers

Backend & DevOps Lead

Product Lifecycle Electrical Engineer, Data Center Engineering - Electrical Products and Services (DCE-EPS)

Partner Solution Consultant

Project Quantity Surveyor:Buildings

Civil Design Engineer (Water)

Bridge Design Engineer - Dublin or Cork

Senior Traffic Management Designer

Senior Technical Program Manager Atlas Clusters

Manager, Site Reliability Engineering - Storage Layer Service

Senior Software Developer

Software Engineer 3

Senior Manager, Platform Engineering

Director of Software Engineering

Director of Cloud, Enterprise Operations

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