Find Lead data analytics & ai engineer Jobs in Leopardstown, D

Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Senior Product Designer
RapidRatings —Dublin, County Dublin
- €80,000–€95,000 a year
- Full-time
- Hybrid work
- Research
- Analytics
Quick apply
Software Development Engineer, Security Analytics, AWS Security, Sonaris
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree
WPM C4 IR Module Engineer
Intel —Leixlip, County Kildare
- €49,300–€92,600 a year
- Full-time
- Hybrid work
- Data analysis skills
- Master's degree
- SQL
- Annual leave
Technical Program Manager, Cloud Networking and Telecommunications
Google —Dublin, County Dublin
- €94,000–€96,500 a year
- Full-time
- Bachelor's degree
- No degree
2h
Software Engineer II (R-19394)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
- Annual leave
Quick apply
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
AI Workplace (M365) & Microsoft Purview Senior Engineer
BearingPoint Ireland —Dublin, County Dublin
- Hybrid work
- SharePoint
- AI
- Communication skills
Energy Engineer
Veolia Energy Services Ireland Limited. —Clondalkin, County Dublin
- Full-time
- Microsoft Excel
- Data analysis skills
- SQL
Quick apply
12d
Senior Software Engineer / Web Developer (AEM)
PlayStation Global —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Lead Software Engineer (Databricks)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Oracle
- Software troubleshooting
7d
Senior II Frontend Engineer
Ethyca —Dublin, County Dublin
- Full-time
- JavaScript
- AI
- Communication skills
Quick apply
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
- AWS
- Analytics
Senior kdb+ Engineer
Data Intellect —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- AWS
- Continuous improvement
- Referral programme
Quick apply
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
2d
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
Account Executive, Growth
Learnosity —Dublin, County Dublin
- €80,000–€100,000 a year
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
Quick apply
6d
Senior Lead Engineer - Future Operations
Eirgrid —Dublin, County Dublin
- Full-time
- Analysis skills
- Organisational skills
- Electrical Engineering
Quick apply
Lead Software Engineer - ServiceNow
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Bachelor's degree
- JavaScript
2d

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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

lead data analytics & ai engineer jobs in leopardstown, d

Lead Software Engineer - AWS

Senior Product Designer

Software Development Engineer, Security Analytics, AWS Security, Sonaris

WPM C4 IR Module Engineer

Technical Program Manager, Cloud Networking and Telecommunications

Software Engineer II (R-19394)

Practice Lead - Data Science_ ML

AI Workplace (M365) & Microsoft Purview Senior Engineer

Energy Engineer

Senior Software Engineer / Web Developer (AEM)

Lead Software Engineer (Databricks)

Senior II Frontend Engineer

Senior Product Manager, AI / ML Solutions

Director, Data engineering

Senior kdb+ Engineer

EMEA Data & Digital Program Manager

Senior Manager Data Architecture and AI

Account Executive, Growth

Senior Lead Engineer - Future Operations

Lead Software Engineer - ServiceNow

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