Find Finance process engineer Jobs in Dublin, D

Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Procurement and Supplier Development Manager , AIS Supply Chain- IPS: Procurement Category Management
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- Data analysis skills
Associate Business Developer , Data Center Supply Solutions EMEA, Data Centre Supply Solutions
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Organisational skills
- Contracts
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Engineering Team Manager - Financial Solutions
Squarespace —Dublin, County Dublin
- €93,000–€143,000 a year
- Overtime
- Hybrid work
- No degree
- AI
- Annual leave
- Employee assistance program
Lead Software Engineer (Databricks)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Oracle
- Software troubleshooting
Manager EMEA North, Infrastructure Energy Team
Amazon Energy Eoraip Limited —Dublin, County Dublin
- Full-time
- English
- Master's degree
- AWS
Principal Cloud & Kubernetes Engineer
InterSystems —Dublin, County Dublin
- Azure
- DevOps
- AWS
Technical Infrastructure Program Manager, EMEA Data Center Delivery
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Project management
- Bachelor's degree
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —Dublin, County Dublin
- Full-time
- Azure
- Windows
- Java
1d
Senior Engineer
AccountsIQ —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
9d
Senior Cost Accountant
West Pharmaceutical Services —Dublin, County Dublin
- €63,100–€80,200 a year
- Microsoft Excel
- ERP systems
- Finance
2d
Senior Software Architect (100% Remote - Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- English
- Bachelor's degree
- Contracts
3d
Senior Manager of Security Engineering - AI/ML
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- Engineering
- AWS
13d
Senior Infrastructure Engineer - Dublin
Seapoint —Dublin, County Dublin
- Hybrid work
- DevOps
- AWS
- Linux
Quick apply
ESG Data & Reporting Lead
Davy —Dublin, County Dublin
- Hybrid work
- SQL
- Project management
- No degree
- Employee assistance program
Quick apply
Reporting Manager:Rail projects
AECOM —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Product Designer (Confirmed/Senior) - Remote Europe
Pennylane SAS —Dublin, County Dublin
- Full-time
- Remote
- English
- Mentoring
- Communication skills
Quick apply
Cloud Engineer, VP
Sumitomo Mitsui Banking Corporation —Dublin, County Dublin
- Azure
- AWS
10d
Engineering - Internal AI Transformation
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- DevOps
- System design
- Master's degree

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Lead Software Engineer - AWS

JPMorganChase -
DUBLIN 2, County Dublin

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Job details

Full-time

Qualifications

Data modelling
Oracle
Data lake
Big data
Spark
NoSQL
Git
Java
SQL
AWS
Analysis skills
Scala
Terraform
Human resources
GitHub
S3
Apache
Kafka
DynamoDB
Maven
AI
Jenkins
Spring framework
Analytics
SDLC

Full job description

JOB DESCRIPTION

Job summary:

As a Manager of Software Engineer at JPMorgan Chase within our Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities :

Manage data integration and data analysis of disparate systems
Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies 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
Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily

Required qualifications, capabilities, and skills:

Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics
Experience in managing team of at least 5-10 engineers.
Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
Hands-on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands-on experience building streaming applications using Kafka
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
Experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
Good knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger Setup
Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
Strong technical understanding in building scalable, high performance distributed services/systems
Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
Possesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiences
Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment

Preferred qualifications:

Experience in Databricks,
Experience in Human Resources analytics

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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

finance process engineer jobs in dublin, d

Lead Software Engineer - AWS

Procurement and Supplier Development Manager , AIS Supply Chain- IPS: Procurement Category Management

Associate Business Developer , Data Center Supply Solutions EMEA, Data Centre Supply Solutions

Capacity Planning Manager, CDP EMEA

Engineering Team Manager - Financial Solutions

Lead Software Engineer (Databricks)

Manager EMEA North, Infrastructure Energy Team

Principal Cloud & Kubernetes Engineer

Technical Infrastructure Program Manager, EMEA Data Center Delivery

Lead Infrastructure Engineer (Workplace Solutions)

Senior Engineer

Senior Cost Accountant

Senior Software Architect (100% Remote - Worldwide)

Senior Manager of Security Engineering - AI/ML

Senior Infrastructure Engineer - Dublin

ESG Data & Reporting Lead

Reporting Manager:Rail projects

Product Designer (Confirmed/Senior) - Remote Europe

Cloud Engineer, VP

Engineering - Internal AI Transformation

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