Find Computer system validation engineer Jobs

Lead Data Engineer – AI & Foundation Models
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
3d
QA Lead
ES Talent Management —Dublin, County Dublin
- €50,000–€60,000 a year
- Full-time
- Azure
- Computer Science
Quick apply
Senior Verification Engineer
Equal1 —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Quick apply
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Principal Engineer Digital Design (f/m/div)
Infineon Technologies AG —Cork, County Cork
- Full-time
- English
- Master's degree
- Bachelor's degree
SRE with Kafka
FalconSmartIT —Dublin, County Dublin
- Computer Science
- DevOps
- System design
Quick apply
FPGA Emulation Engineer - Senior Staff - Cork, Ireland
Qualcomm —Cork, County Cork
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
Senior MES Recipe Author
Cognizant —Cork, County Cork
- Full-time
- Hybrid work
- Communication skills
Senior Electrical Engineer
IPS-Integrated Project Services —DUBLIN 12, County Dublin
- Full-time
- AutoCAD
- Engineering
- Bachelor's degree

Other jobs to consider

Find your next job by exploring related positions.

Fullstack Developer - Python
Citco —Dublin, County Dublin
Development in multiple modules and architectures, according to development best practices and current development technologies. AG Grid (Advanced Data Grids).
HR Information Systems (HRIS) Analyst
EVERSANA —Dublin, County Dublin
Hands-on UKG Pro configuration and system administration experience, including management of system settings, workflow routing, Business Process Flows (BPFs),…
Quick apply

I want to receive the latest job alerts for computer system validation engineer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

computer system validation engineer jobs near

Data Engineer jobs in Dublin, County Dublin

Fpga Engineer jobs in Cork, County Cork

Site Reliability Engineer jobs in Dublin, County Dublin

Digital Designer jobs in Dublin, County Dublin

Digital Designer jobs in Galway, County Galway

Digital Asset Manager jobs in Dublin, County Dublin

Designer Work From Home jobs in Dublin, County Dublin

Content Creation, Animation Digital Media jobs in Cork, County Cork

Ux Designer jobs in Dublin, County Dublin

Mechanical Engineer jobs in County Galway

Azure Cloud Engineer jobs in Dublin, County Dublin

Environmental Engineer jobs in County Dublin

Verification Engineer jobs in Cork, County Cork

Principal Data Scientist jobs in Dublin, County Dublin

Data Engineer jobs in Duleek, County Meath

Data Governance jobs in Dublin, County Dublin

Data Engineer jobs in Glan, County Cork

Engineer jobs in County Clare

Data Engineer jobs in County Kerry

Data Engineer jobs in Dundalk, County Louth

Lead Data Engineer – AI & Foundation Models

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 days ago

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

computer system validation engineer jobs

Lead Data Engineer – AI & Foundation Models

QA Lead

Senior Verification Engineer

Principal Data Scientist

Principal Engineer Digital Design (f/m/div)

SRE with Kafka

FPGA Emulation Engineer - Senior Staff - Cork, Ireland

Senior MES Recipe Author

Senior Electrical Engineer

Other jobs to consider

I want to receive the latest job alerts for computer system validation engineer

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected