Find Full stack engineer Jobs in Kill, Ke

Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Senior Mobile Engineer
Nory —Dublin, County Dublin
- Full-time
- Hybrid work
- Hospitality
- Restaurant management
- English
- Annual leave
- Work from home
AI Engineer
Marsh —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
Senior Solutions Engineer,Auth0
Okta —Dublin, County Dublin
- €104,000–€143,000 a year
- Sales
- Java
- Presentation skills
Quick apply
Senior Product Engineer - Insights
Nory —Dublin, County Dublin
- Full-time
- Remote
- Hospitality
- Restaurant management
- AWS
- Annual leave
- Work from home
AI & Data - AI Lab: Full-Stack Engineer - Agentic AI Platform - Manager
EY —DUBLIN 2, County Dublin
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
Senior Staff Software Engineer, Perception
AeroVect —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Linux/Embedded Firmware Engineer
Full Stack Energy —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
Quick apply
9d
Senior Product Manager, International
CarGurus —Dublin, County Dublin
- €90,000–€108,000 a year
- Analysis skills
- Product management
- Communication skills
Engineering Manager - PASS
Squarespace —Dublin, County Dublin
- €107,000–€165,000 a year
- Overtime
- Hybrid work
- Java
- AI
- Communication skills
- Annual leave
- Employee assistance program
Director, Finance Transformation
KAYAK —DUBLIN 2, County Dublin
- Full-time
- Remote
- Computer Science
- Engineering
- ERP systems
- Annual leave
- Employee assistance program
Quick apply
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Principal Web Application Architect
Hadfield Green —DUBLIN 2, County Dublin
- Full-time
- Presentation skills
- In-person
Founding Engineer
Positive Carbon —Dublin, County Dublin
- €55,000–€75,000 a year
- Master's degree
- Annual leave
Quick apply
Software Engineer III - Test Framework
Adswizz —Dublin, County Dublin
- Full-time
- Computer Science
- Customer service
- Engineering
Full Stack Cybercrime Engineer
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Java
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Principal Engineer, Web Platform – Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- System design
- AWS
- JavaScript
- Annual leave
- Work from home
Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Dublin, County Dublin
- Full-time
- Remote
- Azure
- English
- SQL
Quick apply

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Data Engineer

Kitman Labs
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Data modelling
Git
Google Cloud Platform
SQL
AWS
Docker
Redshift
AI
Python
Analytics

Full job description

Dublin, Ireland

Data Science – Data Engineering /

Full-time /

Remote

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world’s top athletes.

Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product and software designers and engineers.

Kitman Labs’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women’s Soccer League and MLS.

Data Engineer

We're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality — collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations.

What You'll Work On

Analytics Engineering & Reporting

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts
Write performant, well-structured SQL for large-scale transformations in BigQuery
Implement data quality checks using Dataform assertions and automated alerting
Support data observability across the warehouse — monitoring pipeline health, data freshness, and anomaly detection

Data Pipelines & Ingestion

Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration
Work with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows
Develop familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub)
Containerise workloads with Docker for deployment on Cloud Run or similar GCP services

Data Science Collaboration

Support Data Scientists in moving work from notebook to production pipeline
Contribute to feature pipelines and data preparation for ML workloads
Help bridge the gap between research prototypes and scalable, maintainable code

What We're Looking For

SQL proficiency — comfortable writing complex, performant queries against large datasets in BigQuery
Dataform experience — or strong dbt experience with willingness to work in Dataform; understanding of modular, version-controlled data transformation
Python with an engineering mindset — clean, tested, linted code; comfortable with Git and CI/CD workflows
GCP familiarity — hands-on experience with BigQuery is essential; broader GCP exposure (Cloud Storage, Cloud Run, Pub/Sub, Datastream) is a strong advantage
Orchestration experience — hands-on with Cloud Composer, Airflow, or a comparable tool
Data modelling fundamentals — dimensional modelling, Kimball principles, or medallion architecture patterns
Docker basics — able to containerise and deploy data workloads
Collaborative and communicative — able to translate business requirements into data models and work effectively with Analytics, Product, and Data Science stakeholders
Pragmatic approach to AI tooling — comfortable using AI-assisted development to improve productivity and code quality

Nice to have

Looker / LookML experience
Familiarity with CDC concepts and tools (Datastream, Debezium)
Exposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, Vertex AI)
AWS experience as a complement (Redshift, Glue, RDS) — we value engineers who can draw on cross-cloud perspective
Curiosity about sports performance data

Why this role?

You'll work on a modern GCP-native stack — BigQuery, Dataform, Looker, Cloud Composer, Cloud Run — with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean code, good data, and pragmatic engineering over perfection.

Benefits

At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture.

We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this:

Competitive salary
Meaningful equity
Pension Plan
Fully paid health insurance for employee & dependants
Life Assurance
Wellness Perk
Flexible workplace with options for office-based, hybrid and remote working

Location

Whilst remote, you can work from our Dublin office, which is located in the impressive CHQ Building, a 2 minute walk from Connolly train station, and very close to all major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars & cafes.

Diversity

In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing CVs/resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

full stack engineer jobs in kill, ke

Data Engineer

Senior Mobile Engineer

AI Engineer

Senior Solutions Engineer,Auth0

Senior Product Engineer - Insights

AI & Data - AI Lab: Full-Stack Engineer - Agentic AI Platform - Manager

Mechanical Engineer

Senior Staff Software Engineer, Perception

Linux/Embedded Firmware Engineer

Senior Product Manager, International

Engineering Manager - PASS

Director, Finance Transformation

VP of Quantum Software Engineering

Principal Web Application Architect

Founding Engineer

Software Engineer III - Test Framework

Full Stack Cybercrime Engineer

Partner Solutions Architect

Principal Engineer, Web Platform – Team Web

Senior Data & Analytics Engineer (Europe, 100% remote)

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