Data Engineer

Visa Hunt; Ireland; On-site; EUR 60,000 - 90,000; Full time

Job summary

Primark is seeking a Data Engineer to join the Data Platform & Engineering team. You will design and enhance scalable data pipelines using Databricks, PySpark and dbt Cloud, delivering trusted data products for reporting, analytics and AI use cases.

You will model data, support ETL/ELT strategies, monitor production pipelines and help modernise Teradata assets to Databricks, driving automation and continuous improvement across the data engineering lifecycle.

Qualifications

• Design, build and enhance scalable data pipelines and transformation processes using SQL and Python.
• Develop and support ETL/ELT solutions and data models for analytics and AI use cases.
• Monitor and optimise production data pipelines for reliability and performance.

Responsibilities

• Design, build and enhance scalable data pipelines and transformation processes.
• Develop and support ETL/ELT solutions and data models that integrate data from multiple systems.
• Monitor, maintain and optimise production data pipelines for reliability and performance.

Skills

SQL

Python

Databricks

dbt Cloud

dbt Core

Spark

Azure data services

ETL/ELT concepts

Tools

Databricks

Spark

Azure

Job description

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.

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.