Find Database engineering Jobs in Kill, Ke

Data Engineer
Primark —Dublin, County Dublin
- Azure
- SQL
- Analysis skills
16h
Senior Data Engineer
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- SQL
- AWS
Quick apply
9d
Mechanical Engineer
Fohntech Group —DUBLIN 15, County Dublin
- Full-time
- Mechanical knowledge
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
10d
Building Services Engineer
Tuath Housing Association —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Annual leave
- Employee assistance program
Quick apply
Principal Software Engineer
Global-e —Dublin, County Dublin
- Full-time
- AWS
- No degree
- Agile
Quick apply
Manager, Quota and Capacity Planning
Salesforce —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Sales
2d
Senior Electrical Estimator
Leo Lynch —Dublin, County Dublin
- Full-time
- Microsoft Office
- Analysis skills
- No degree
Quick apply
CSA Package Owner
PM Group —Dublin, County Dublin
- Engineering
- Project management
- Construction experience
Procurement Support Supervisor
Mercury Engineering —Dublin, County Dublin
- No degree
- Organisational skills
- Communication skills
10d
QA Lead
Davy —Dublin, County Dublin
- Hybrid work
- DevOps
- SQL
- Bachelor's degree
- Employee assistance program
Quick apply
9d
Scheduler/Planner
Weltec —Leixlip, County Kildare
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- No degree
Quick apply
9d
CSA Estimator
Winthrop Technologies —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Analysis skills
Quick apply
Senior Software Engineer, Forward Deployed AI Engineer
MongoDB —Dublin, County Dublin
- Remote
- Azure
- Oracle
- Java
Manager Engineering Software- FBG-Trading
Fanatics Betting & Gaming —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- AWS
Quick apply
Cloud Operations Engineer
MongoDB —Dublin, County Dublin
- On call
- Remote
- Azure
- DevOps
- Java
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
MongoDB —Dublin, County Dublin
- On call
- Remote
- Azure
- AWS
- Software development
Senior Software Engineer - Licensing Management
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Principal Solutions Architect
MongoDB —Dublin, County Dublin
- Remote
- Azure
- Sales
- Java
Cloud Platform Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- AWS
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

database engineering jobs in kill, ke

Data Engineer

Senior Data Engineer

Mechanical Engineer

Senior Software Engineer, Cash Forecasting

Building Services Engineer

Principal Software Engineer

Manager, Quota and Capacity Planning

Senior Electrical Estimator

CSA Package Owner

Procurement Support Supervisor

QA Lead

Scheduler/Planner

CSA Estimator

Senior Software Engineer, Forward Deployed AI Engineer

Manager Engineering Software- FBG-Trading

Cloud Operations Engineer

Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

Senior Software Engineer - Licensing Management

Principal Solutions Architect

Cloud Platform Engineer

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