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About the Role
As a Data Engineer at Arden University, you will design, build, and maintain scalable data pipelines, models, and integrations to ensure data is clean, reliable, and ready to power dashboards, reporting, analytics, and AI-driven solutions. You will collaborate with various teams to solve complex data challenges and improve the University's data capabilities, playing a key role in building data foundations during a significant digital and AI transformation.
Responsibilities
- Design, build, and maintain scalable data pipelines, models, and integrations.
- Ensure data is clean, reliable, and ready to power dashboards, reporting, analytics, and AI-driven solutions.
- Collaborate with Data Scientists, Analysts, Developers, and business teams.
- Solve complex data challenges.
- Continuously improve the University's data capabilities.
- Work with modern data technologies.
- Play a key role in building data foundations.
Requirements
- Experience using programming languages such as Python, R and/or SQL.
- Strong understanding of data modelling techniques, including dimensional modelling, Medallion architecture and Lakehouse design patterns.
- Hands-on experience with a modern cloud data platform, such as Azure Synapse, Microsoft Fabric, Databricks, Snowflake, BigQuery or equivalent.
- Experience using Azure Data Factory, Microsoft Fabric Data Factory or Apache Airflow.
- Knowledge of version control systems, such as Git.
- Experience working in Agile delivery environments, including Scrum or Kanban.
- Experience contributing to or implementing CI/CD pipelines for data and software delivery.
- Understanding of data quality testing, monitoring and observability practices.
- Strong data literacy, with the ability to translate business needs into effective technical solutions.
- Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience using AI-assisted development tools, such as GitHub Copilot or ChatGPT.
- Familiarity with Large Language Models (LLMs) and their practical application in data engineering.
- Experience with Microsoft Azure data and analytics tools.
- Experience using Power BI or other data visualisation and BI tools.
- Formal Data & Analytics qualification e.g. Certified Analytics Professional (CAP), Azure Data Engineer/Scientist Associate (Desirable).
- Experience in the use of data and analytics tooling within Microsoft Azure (Desirable).
- Knowledge of machine learning algorithms and data science techniques (Desirable).
- Exposure to Agentic AI concepts and AI agent framework (Desirable).
Skills
- Python
- R
- SQL
- Data Modelling
- Dimensional Modelling
- Medallion Architecture
- Lakehouse Design Patterns
- Azure Synapse
- Microsoft Fabric
- Databricks
- Snowflake
- BigQuery
- Azure Data Factory
- Microsoft Fabric Data Factory
- Apache Airflow
- Git
- Agile
- Scrum
- Kanban
- CI/CD
- Data Quality Testing
- Monitoring
- Observability
- Data Literacy
- Communication
- AI-assisted development tools
- GitHub Copilot
- ChatGPT
- Large Language Models (LLMs)
- Microsoft Azure data and analytics tools
- Power BI
- Data Visualisation
- BI Tools
- Machine Learning Algorithms
- Data Science Techniques
- Agentic AI Concepts
- AI Agent Framework
Location
- Remote
Work Type
- Permanent
- Full-time
Education Level
- Formal Data & Analytics qualification e.g. Certified Analytics Professional (CAP), Azure Data Engineer/Scientist Associate (Desirable)
Salary/Compensations
- £50000 - £60000 per annum
Benefits
- 30 days holiday + bank holidays
- Christmas closure
- Generous Aviva pension plan, company contributions starting from 7%
- SimplyHealth plan option
- Private Medical Insurance coverage (applies to certain job roles)
- Access to Perkbox benefits
- Study any Arden course for free
- Discount for all family and friends
- Golden Ticket which allows you to gift anyone in your life a free Arden education
About the Company
- Arden University is an aspirational and multi-award-winning university, delivering rapid growth with ambitious plans to disrupt the HE sector through its passion for innovation and digital education.
- The vision is to become the first-choice university for career-focused lifelong learners worldwide, ensuring that everyone, everywhere can access higher education, by leading the thoughtful integration of AI into teaching and learning and equipping students to thrive in an AI-enabled world.
- The Analysis, Insights & Performance team plays a key role in shaping how Arden University uses data to make smarter decisions, improve performance and deliver better outcomes for students.
- The team is at the forefront of turning data into meaningful insight and driving positive change across the organisation.
- The team is embarking on an ambitious AI transformation, creating exciting opportunities to develop new data capabilities, unlock greater value from information, and support innovative ways of working.
- Joining the team means being part of a forward-thinking environment where data, technology and innovation come together to shape the future of Arden University.
Equal Opportunity
- Arden University is proud to be a Disability Confident Employer.
- If you have a disability, as defined by the Disability Equality Act 2010, you may be guaranteed an interview if you meet the essential criteria for the role.
- As an Equal Opportunity Employer we celebrate diversity and are committed to creating a diverse and inclusive workplace.
- Recruitment and selection processes never discriminate based upon people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances, and actively welcome applications from all groups.