Find Senior software engineer observability Jobs in Dublin, D

Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Senior Production Engineer
Whatnot —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- AWS
- Bachelor's degree
- Work from home
2d
Senior .NET Engineer
AccountsIQ —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Principal Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
- AI
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Senior Storage Software Engineer
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- Master's degree
Director Cloud Platform
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Doctoral degree
- Java
- Master's degree
Staff Engineer, Power Systems
Analog Devices —Glasnevin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- Electrical Engineering
Head of Architecture and Engineering Operations
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Staff Network Engineer
Cadence Design Systems —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Bachelor's degree
- Employee stock purchase plan
- Life insurance
Engineering Director
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
Embedded Engineer- Aircraft
Manna —Dublin, County Dublin
- Full-time
- Hybrid work
- C++
- Linux
- Manufacturing
Quick apply
Sr Manager, Analytics Operations – DevOps
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- DevOps
- Annual leave
1d
Senior Software Engineer, Observability
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS

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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

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senior software engineer observability jobs in dublin, d

Data Engineer

Senior Production Engineer

Senior .NET Engineer

Principal Engineer - Commerce Hub

Senior Engineer, Network Observability

Senior Storage Software Engineer

Director Cloud Platform

Staff Engineer, Power Systems

Head of Architecture and Engineering Operations

Staff Network Engineer

Engineering Director

Embedded Engineer- Aircraft

Sr Manager, Analytics Operations – DevOps

Senior Software Engineer, Observability

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