Find Database engineering Jobs in Kill, Ke

Data Engineer
Primark —Dublin, County Dublin
- Azure
- SQL
- Analysis skills
1d
Senior CloudOps Database Engineer
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- AWS
- Scripting
- Linux
- Annual leave
- Employee assistance program
Quick apply
Quantitative Developer – Data Infrastructure
Millennium Management —Dublin, County Dublin
- Computer Science
- AWS
- C++
4d
Devops Engineer
Mifinity —Dublin, County Dublin
- Full-time
- Hybrid work
- DevOps
- AWS
- Scripting
- Free parking
Quick apply
SRE- Availability Engineer
eBay Inc. —Dublin, County Dublin
- Weekend availability
- Computer Science
- Java
- Bachelor's degree
4d
Staff Technical Program Manager, Site Reliability Engineering
MongoDB —Dublin, County Dublin
- Remote
- Azure
- AWS
- SDLC
Database Reliability Engineer
Starling —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- Annual leave
- Life insurance
Quick apply
Systems Engineer, Managed Operations
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- DevOps
- English
- AWS
4d
Automation Engineer
Ipsen Manufacturing Ireland Ltd —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
10d
KBD Developer
EPAM Systems, Inc. —Dublin, County Dublin
- Java
- Analysis skills
- C++
- Employee assistance program
- Referral programme
Data Platform Engineer - Data License Plus
Bloomberg —Dublin, County Dublin
- Oracle
- SQL
- Linux
3d
Automation Engineer
Pfizer —Dublin, County Dublin
- Full-time
- Engineering
- Bachelor's degree
- No degree
3d
Technical Lead - Cloud, DevOps
Tata Consultancy Services —Dublin, County Dublin
- Call to connect
- Azure
- DevOps
- SQL
2d
Senior Database/Data Warehouse Microsoft Fabric Consultant - contract
TEKenable —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Junior Electrical Engineer
Mercury Engineering —Dublin, County Dublin
- Electrical Engineering
- Communication skills
Senior Data Analyst
Optum —Dublin, County Dublin
- Full-time
- Engineering
- SQL
- Presentation skills
Platform Engineer
Smartbox Group —Dublin, County Dublin
- Full-time
- Hybrid work
- AWS
- Analysis skills
- Scripting
Quick apply
Senior Analyst, Quota and Capacity Planning
Salesforce —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Sales
4d
Data Engineer, Microsoft Data Platform
IPL Schoeller —DUBLIN 2, County Dublin
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
4d
Lead Software Engineer
Medserv —Dundrum, County Dublin
- €110,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
- Annual leave
- Employee assistance program
Quick apply

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Data Engineer

Primark -
Dublin, County Dublin

Apply Now

Job details

Permanent
1 day 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 CloudOps Database Engineer

Quantitative Developer – Data Infrastructure

Devops Engineer

SRE- Availability Engineer

Staff Technical Program Manager, Site Reliability Engineering

Database Reliability Engineer

Systems Engineer, Managed Operations

Automation Engineer

KBD Developer

Data Platform Engineer - Data License Plus

Automation Engineer

Technical Lead - Cloud, DevOps

Senior Database/Data Warehouse Microsoft Fabric Consultant - contract

Junior Electrical Engineer

Senior Data Analyst

Platform Engineer

Senior Analyst, Quota and Capacity Planning

Data Engineer, Microsoft Data Platform

Lead Software Engineer

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