Find Data analytics & ai engineer Jobs in Kill, Ke

Data Engineer
Primark —Dublin, County Dublin
- Azure
- SQL
- Analysis skills
16h
Senior Data Engineer
Primark —Dublin, County Dublin
- Azure
- SQL
- Continuous improvement
16h
Materials Program Manager
Intel —Leixlip, County Kildare
- €45,800–€71,600 a year
- Full-time
- Data analysis skills
- Bachelor's degree
- No degree
3h
Senior Success Architect - Service Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- English
- AI
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Senior Analyst, Trust and Safety
Google —Dublin, County Dublin
- €84,000–€86,000 a year
- Full-time
- Doctoral degree
- Master's degree
- SQL
18h
Senior Product Manager – Reporting & Visualisation
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- Research
- AI
- Leadership
Account Executive
Zendesk —Dublin, County Dublin
- Full-time
- Sales
- Research
- Bachelor's degree
Senior Cloud Support Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Quick apply
Senior Software Engineer
Vectra —Dublin, County Dublin
- Azure
- Engineering
- AWS
- Life insurance
Quick apply
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Lead Technology Product Manager (Brightflag)
Wolters Kluwer —Dublin, County Dublin
- Full-time
- Product management
- AI
- Life insurance
Senior Web Engineer
Supermetrics —Dublin, County Dublin
- JavaScript
- AI
- Analytics
Quick apply
Service Operations Lead
Openmind Networks —DUBLIN 2, County Dublin
- Computer Science
- English
- Project management
Quick apply
11d
Sr. Solutions Consultant
Kofax —Dublin, County Dublin
- Azure
- Computer Science
- Sales
Quick apply
Senior Product Security Engineer
Guidewire Software —Dublin, County Dublin
- Full-time
- AWS
- Communication skills
Senior Project Manager - Modular Solutions
CEL - Critical Power —Dublin, County Dublin
- Full-time
- English
- Project management
- Electrical Engineering
Quick apply
Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- AWS
- Analysis skills
6d
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
10d
Senior Software Engineer - Core Team
Userpilot —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
- Communication skills
Quick apply

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Data Engineer

Primark -
Dublin, County Dublin

Apply Now

Job details

Permanent
16 hours ago

Qualifications

Data modelling
Azure
Relational databases
Spark
SQL
Analysis skills
Teradata
Python

Full job description

Technology at Primark

Our technology team is actively shaping the next wave of advancements. Engaged with innovative initiatives, your expertise will propel our business into the future. Collaborating with a creative team of tech enthusiasts, you’ll contribute your unique skills to fuel our technological advancements.

Join Primark’s Data Platform & Engineering team as a Data Engineer, helping to build and support our enterprise data platform on Databricks. You will develop and enhance data pipelines that power reporting, analytics, AI and data science. Working with cross-functional teams, you will deliver trusted and scalable data products. This is an opportunity to grow your expertise in modern cloud data technologies.
Ideal candidates combine strong SQL and data engineering skills with a passion for learning and innovation.

What you'll do

Data Engineering Delivery: Design, build and enhance scalable data pipelines and transformation processes using Databricks, PySpark, SQL and dbt Cloud to deliver trusted, business-ready data products.
Data Modelling & Integration: Develop and support ETL/ELT solutions, data models and reusable datasets that integrate data from multiple enterprise systems and support reporting, analytics and AI use cases.
Data Platform Operations: Monitor, maintain and optimise production data pipelines to ensure reliability, performance and operational efficiency across the data platform.
Data Quality & Governance: Implement and promote data quality controls, testing, lineage and documentation practices that improve data accuracy, transparency and compliance with governance standards.
Stakeholder Collaboration: Partner with Data Engineers, Analytics teams, Data Scientists and business stakeholders to understand requirements and deliver data solutions that create measurable business value.
Platform Modernisation: Support and contribute to the migration from Teradata to Databricks, helping to modernise legacy data assets, tooling and engineering practices.
Continuous Improvement & Innovation: Drive and champion automation, emerging technologies and continuous improvement initiatives that enhance the scalability, efficiency and maturity of the data engineering lifecycle.

What you'll bring

Data Engineering Experience (2-5 Years): Proven experience developing and maintaining data pipelines using SQL, Python and modern data engineering practices within enterprise-scale environments.
Data Modelling & Transformation: Experience working with dbt Cloud, dbt Core or similar transformation frameworks, with a strong understanding of data modelling and transformation techniques.
Cloud & Modern Data Platforms: Exposure to Databricks, Spark, Azure data services or other cloud-based analytics platforms, including lakehouse and distributed data processing technologies.
Data Integration & Database Expertise: Strong understanding of ETL/ELT concepts, relational databases and the management of large-scale datasets from multiple data sources.
Data Quality & Engineering Standards: Knowledge of data quality, testing, operational support processes, software development lifecycles and version control best practices to deliver reliable and maintainable solutions.
Problem Solving & Commercial Awareness: Strong analytical and problem-solving skills, with an understanding of how data solutions support business processes, decision-making and organisational objectives.
Collaboration, Learning & Continuous Improvement: Ability to work effectively within cross-functional teams, build strong stakeholder relationships and demonstrate a commitment to continuous learning, innovation and process improvement.

About Primark

At Primark, people matter. They’re the beating heart of our business and the reason we’ve grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together.

If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist.

All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss.

REQ ID: JR-12069

Apply Now

Refine Your Search

data analytics & ai engineer jobs in kill, ke

Data Engineer

Senior Data Engineer

Materials Program Manager

Senior Success Architect - Service Cloud

Sr Applied Scientist

Senior Analyst, Trust and Safety

Senior Product Manager – Reporting & Visualisation

Account Executive

Senior Cloud Support Engineer

Senior Software Engineer

Product Manager

Lead Technology Product Manager (Brightflag)

Senior Web Engineer

Service Operations Lead

Sr. Solutions Consultant

Senior Product Security Engineer

Senior Project Manager - Modular Solutions

Lead Security Engineer

Senior Software Engineer, Cash Forecasting

Senior Software Engineer - Core Team

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