Find data analytics lead Jobs in dublin, d

Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- System design
- Referral programme
Senior Data Analyst
Optum —Dublin, County Dublin
- Full-time
- SQL
- Analytics
- Data Engineer/Analytics Engineer
ErnieApp —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Analysis skills
Business Strategist III
Indeed —Dublin, County Dublin
- €82,000–€124,000 a year
- Full-time
- SQL
- Analysis skills
- Communication skills
- Annual leave
- Life insurance
Quick apply
Chief Technology Officer
FOODHUB —Dublin, County Dublin
- €200,000–€400,000 a year
- Full-time
- Hospitality
- Computer Science
- In-person
- Annual leave
Quick apply
1d
Data Analytics Consultants
Forvis Mazars —Dublin, County Dublin
- Azure
- Computer Science
- Master's degree
Lead, Data Platforms
Eirgrid —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Quick apply
6h
Senior Business Systems Analyst- Data Steward
Optum —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- SQL
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Analytics Team Lead
Citco —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
13d
Senior Data Director (Hybrid)
Nitro —Dublin, County Dublin
Quick apply
9d
Data, Analytics & Platform (DAP) Manager
Novartis —Dublin, County Dublin
- Full-time
- Bachelor's degree
- AI
- Business
Lead Technical Product Manager
Optum —Dublin, County Dublin
- Full-time
- No degree
- Product management
- Agile
Technical Lead – Data Platform Infrastructure Engineer (DBRE)
Hadfield Green —DUBLIN 2, County Dublin
- Oracle
- AWS
AI & Data Delivery Lead
Deloitte —Dublin, County Dublin
- Full-time
- Hybrid work
- Continuous improvement
- Agile
- AI
Senior Analyst, Strategy & Operations
GoFundMe —Dublin, County Dublin
- €69,000–€104,000 a year
- SQL
- Mentoring
- Communication skills
7d
Senior Data Manager
Elwood Roberts —Dublin, County Dublin
- €90,000–€100,000 a month
- Full-time
- Budgeting
Quick apply
Technical Product Manager
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Agile
Lead Credit Manager (Analytics)
Revolut —Dublin, County Dublin
- €7,100–€8,900 a month
- Full-time
- Remote
- SQL
- Bachelor's degree
- No degree
Marketing Analytics & Reporting Manager - Data Infrastructure & Operational Excellence
Salesforce —Dublin, County Dublin
- Full-time
- Marketing
- Salesforce
- SQL

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Lead Data Analytics & AI Engineer

ResMed -
Dublin, County Dublin

Apply Now

Job details

Full-time

Benefits

Referral programme

Qualifications

CI/CD
Salesforce Marketing Cloud
Data modelling
Law
Computer Science
Salesforce
Spark
System design
Git
Google Cloud Platform
Master's degree
SQL
AWS
Bachelor's degree
Terraform
GitHub
Kafka
AI
Python
Analytics

Full job description

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

We are looking for our future Lead Data Analytics & AI Engineer to join our Global Technology Solutions team in Ireland.

The role is offered as hybrid with 1 day per week onsite in our Sandyford, Dublin office. We believe technical leadership is strengthened through periodic face-to-face collaboration.

Who We Are

Global Technology Solutions (GTS) at Resmed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across Resmed . The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

At Resmed , we don’t just build technology, we create solutions that transform lives . As a global leader in connected devices and digital health, we empower millions of people worldwide to sleep, breathe, and live better lives.

We are looking for a high-impact, hands-on Lead Data Analytics Engineer to shape the next generation of Res m ed’s data ecosystem.

This is a Senior Staff–level technical leadership role for someone who can set direction, define patterns, solve complex architectural challenges, and elevate our data engineering capabilities across the organization . We are looking for someone who can collaborate with peers to solve complex data pipeline , data models, and classical and generative AI challenges.

If you’re the kind of engineer who thrives at the intersection of architecture, hands-on development, and future-facing analytics— this is a rare opportunity to make a global impact at scale.

What You’ll Do
As a Lead Engineer, you will define technical direction and deliver foundational capabilities across ResMed’s data ecosystem. You will:

Set architectural strategy for data modeling, transformation, ingestion, and data products, and guide engineering best practices across teams.

Lead analytics engineering by designing high-quality Snowflake/ dbt models, establishing governance and testing standards, and mentoring engineers in scalable modeling and system design.

Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies, introducing automation, observability, and resilient design patterns.

Collaborate cross- functionally with product, engineering, and data science to shape impactful, scalable solutions.

Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures.

What You Bring

Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 8 + years).

Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred).

Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools.

Proficiency with dbt or similar transformation frameworks.

Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices.

Solid experience with Git/GitHub workflows, including branching strategies and collaborative development.

Experience building and maintaining CI/CD pipelines in GitHub Actions , including automated testing and secure deployments.

Ability to operate across both analytics engineering and data engineering responsibilities.

Experience with cloud platforms such as AWS or GCP.

Nice-to-Have

Bachelor’s degree in a STEM field or equivalent experience or Master’s degree in a computer science or engineer field.

Experience with Dagster , Airflow, or similar orchestration tools.

Familiarity with streaming or event-based processing (Kafka, Fink, Kinesis).

Familiarity with IaC such as Terraform.

Experience with classical machine learning, advanced analytics, and generative AI development

Experience supporting ML/AI workflows or integrating ML into data products.

Experience working with Consumer Data Systems such as Salesforce Marketing, Cloud, Hightouch and/or Shopify

Prior experience as a Staff or Senior Staff-level engineer.

What You Can Expect

A supportive environment that focuses on people development and best practices.

Opportunity to design, influence, and be innovative.

Work with global teams and share new ideas .

Be supported both inside and outside of the work environment.

The opportunity to build something meaningful and seeing a direct impact on people's lives

Additional information :

At Resmed , all employees benefit from a bonus plan, the percentage of which depends on your position within the organisation .

Working from home flexibility

You also have access to a referral bonus and to Resmed's preferred shareholding programme

Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)

Internal career opportunity - joining an international fast- pace and massively growing company

Resmed is an Equal Opportunity Employer

With a 30 year history of innovation as a global leader in health technology, we know those good ideas can come from anywhere at Res m ed . Innovation and imagination aren't just something we aspire to; they are integral to the way we work. We work hard to provide the opportunity for every employee to do amazing things every day as we shape the future together. Come play !

#LI-EU

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Apply Now

Refine Your Search

data analytics lead jobs in dublin, d

Lead Data Analytics & AI Engineer

Senior Data Analyst

- Data Engineer/Analytics Engineer

Business Strategist III

Chief Technology Officer

Data Analytics Consultants

Lead, Data Platforms

Senior Business Systems Analyst- Data Steward

Data Analytics and AI Team Lead

Analytics Team Lead

Senior Data Director (Hybrid)

Data, Analytics & Platform (DAP) Manager

Lead Technical Product Manager

Technical Lead – Data Platform Infrastructure Engineer (DBRE)

AI & Data Delivery Lead

Senior Analyst, Strategy & Operations

Senior Data Manager

Technical Product Manager

Lead Credit Manager (Analytics)

Marketing Analytics & Reporting Manager - Data Infrastructure & Operational Excellence

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