Find Engineer ml Jobs in Dublin, D

Data Engineer III - Databricks
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Agile
Network Dev Engineer II, ONE Access Engineering (LAN)
Amazon Ireland Support Services Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AWS
1d
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
14d
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
2d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
14d
Senior Data Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Quick apply
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
13d
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
9d
Senior AI Security Engineer (R-19324)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
- Annual leave
Quick apply
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
2d
Sr. Database Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Java
- SQL
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Senior NPU SDK Software Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply

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Data Engineer III - Databricks

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Spark
NoSQL
SQL
AWS
Agile
AI
Python
Analytics
SDLC

Full job description

JOB DESCRIPTION

Are you ready to push the limits of what's possible in data engineering? At JPMorganChase, you'll have the opportunity to impact your career and work in an environment that values innovation and collaboration. You'll join a team where your skills are celebrated, and your growth is supported. We empower you to solve complex challenges and make a difference across the firm. Discover how you can shape the future of data with us.

As a Data Engineer III in Enterprise Platforms, you will join an agile team focused on onboarding enterprise data and building scalable data pipelines on the Palmos platform. You will design, develop, and maintain secure, reliable, and scalable data solutions that support analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and governance partners to deliver high-quality curated datasets aligned to our data mesh architecture and Palmos platform standards. You will play a key role in advancing our data capabilities and driving innovation.

Job Responsibilities:

Develop workflows and ELT data pipelines using Python, Spark/PySpark, and Databricks
Onboard enterprise datasets into Palmos, including ingestion, transformation, and validation of data assets
Build, test, and maintain scalable data pipelines and data architectures that support enterprise analytics use cases
Apply data engineering best practices for performance optimization, reliability, and maintainability
Support implementation of data security, governance, and entitlements frameworks to protect enterprise data
Use SQL extensively and work with both relational and NoSQL data stores
Partner with stakeholders to understand data requirements and translate them into production-ready solutions
Apply SDLC practices including CI/CD, testing, and operational monitoring to ensure pipeline stability
Contribute to reusable frameworks and standards to accelerate onboarding and pipeline delivery
Identify data issues, anomalies, and optimization opportunities to improve data quality and performance
Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required Qualifications, Capabilities, and Skills:

Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
Experience developing and maintaining data pipelines and data processing systems
Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption
Knowledge of cloud platforms (AWS) and distributed data processing
Experience with SDLC practices including CI/CD, testing, and deployment
Strong problem-solving skills and ability to troubleshoot data and pipeline issues
Ability to collaborate effectively within agile teams and across stakeholders
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred Qualifications, Capabilities, and Skills:

Experience with Databricks lakehouse, Delta Lake, and medallion architecture
Familiarity with enterprise data platforms such as Palmos and data mesh principles
Exposure to data quality, observability, and metadata management tools
Experience supporting analytics, reporting, or AI/ML workloads
Experience working within EU regulatory and data protection environments (e.g., GDPR)

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Apply Now

Refine Your Search

engineer ml jobs in dublin, d

Data Engineer III - Databricks

Network Dev Engineer II, ONE Access Engineering (LAN)

Forward Deployed Engineer II, GCC (French, German)

Software Engineer - Observability

Sr. Technical Program Manager, AWS Manufacturing Operations

AI Engineer 2

Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Senior Product Manager, GenAI Content Safety

Senior Data Engineer

Senior Applied Scientist, AWS Security

Customer Engineer, SMB, Artificial Intelligence

Principal Cybersecurity Architect

Senior AI Security Engineer (R-19324)

Principal Data Product Engineer — Data Ontology & Metadata

Sr. Database Engineer, AWS DMS

AI Architect (R-18541)

Solution Architect

Senior NPU SDK Software Engineer

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