Senior Data Engineer
Primark Stores Limited · Reading, United Kingdom ·
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 5+ years
- Company size
- 1000+
Primark Stores Limited · Reading, United Kingdom ·
Visa Hunt · Ireland
primark · Dublin 1, ie
primark · Reading, gb
primark · Reading, BERKSHIRE, gb
Senior Data Engineer on Primark's internal Data Platform & Engineering team in Reading, UK. Day to day: design and build scalable pipelines and lakehouse data products with Databricks, dbt Cloud, PySpark and SQL on Azure, lead the Teradata-to-Databricks migration, and mentor engineers while driving engineering best practices.
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.
We are seeking aSenior Data Engineerto join Primark's Data Platform & Engineering team, leading the design and delivery of scalable data solutions on our Databricks-based enterprise platform. You will build andoptimisetrusted data products that power reporting, analytics, AI and data science across the business. Working closely with engineering, analytics and business teams, you will provide technical leadership, mentor Data Engineers and drive engineering best practices. This is a hands-on role for an experienced engineer with deep expertise in Databricks,dbtCloud, Spark and SQL, who is passionate about delivering high-quality data solutions. You will play a key role in Primark's migration from Teradata to Databricks and the ongoing evolution of our Data & Analytics capabilities.
Data Engineering Delivery:Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science.
Data Architecture & Modelling:Develop and maintain robustlakehousearchitectures and reusable data models, ensuring solutions are scalable, performant, secure and aligned with enterprise data standards.
Technical Leadership & Engineering Excellence:Lead engineering initiatives, establish best practices and drive high standards across development, testing, deployment, documentation and monitoring, while championing automation and CI/CD adoption.
Code Quality & Team Mentorship:Provide technical guidance, conduct code reviews and mentor Data Engineers to strengthen engineering capability, promote knowledge sharing and foster a culture of continuous improvement.
PlatformModernisation:Play a key role in Primark's migration from Teradata to Databricks, supporting dataremodelling, pipeline migration, performanceoptimisationand the ongoing evolution of the enterprise data platform.
Data Product Delivery & Stakeholder Collaboration:Partner with Analytics, Data Science, Governance and business stakeholders to translate requirements into scalable technical solutions and reusable datasets that deliver measurable business value.
Continuous Improvement & Strategic Contribution:Identify opportunities to improve platform performance, scalability and cost efficiency, while contributing to engineering standards, roadmap initiatives and the long-term growth of Primark's Data & Analytics capabilities.
Advanced Data Engineering Experience (5-8 Years):Strong hands-on experience designing, building andoptimisingenterprise-scale data pipelines and data platforms using Databricks,PySparkand advanced SQL.
Cloud Data Platforms & Architecture:Proven experience working with Azure-based data technologies and designing scalablelakehousearchitectures, data models and modern cloud data solutions.
dbt& Engineering Best Practices:Experience withdbtCloud ordbtCore, including model development, testing, documentation, lineage, deployment workflows, CI/CD and version control practices.
Data Quality, Performance &Optimisation:Strong understanding of data quality, observability, operational monitoring and performance tuning, with a focus on delivering reliable, scalable and cost-efficient data solutions.
Data Product Delivery & Commercial Value:Demonstrated success delivering data products that support analytics, reporting, AI and data science use cases, driving measurable business outcomes and value creation.
Technical Leadership & Stakeholder Engagement:Ability to provide technical leadership, translate business requirements into scalable solutions and collaborate effectively across Engineering, Analytics, Governance, Architecture and business teams.
Mentoring & Continuous Improvement:Experience coaching engineers, sharing best practices and driving continuous improvement across data engineering teams.
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.
primark · Reading, gb