Graduate Data & Digital Engineer
Altrad UK, Ireland & Nordics
Graduate Data & Digital Engineer - Digital - ASUK
Location: Middlesbrough / Goldthorpe
Reports To: Data Platform & Enablement Lead
Role Purpose
The Graduate Data & Digital Engineer will support the delivery of modern, scalable data, analytics, automation and AI solutions across ASUK. This is an early-career role designed to build broad capability across data engineering, analytics, Power Platform and AI-enabled solutions.
The role will contribute to ASUK’s continuously evolving Microsoft-based data and digital ecosystem, including Azure Data Factory, Azure SQL, Power BI, Microsoft Fabric, Databricks, Power Platform, Copilot Studio and Python-based notebooks.
Working with experienced engineers and business stakeholders, the successful candidate will help build reliable data pipelines, trusted reporting models, business applications, automation workflows and AI-assisted tools that improve decision-making, operational efficiency and digital capability across the organisation.
Key Responsibilities
- Support the design, development and maintenance of scalable data pipelines using Azure Data Factory, Microsoft Fabric, Databricks and related Azure services.
- Assist with extracting, transforming and integrating data from source systems using SQL, APIs, files and other integration methods.
- Support the development of data warehouse, lakehouse and medallion architecture components.
- Help build and maintain Power BI datasets, reports, semantic models and business metrics.
- Assist with testing, reconciliation and validation to ensure data and reporting outputs are accurate and reliable.
- Support the development of Power Apps, Power Automate workflows and other business process automation solutions.
- Assist with AI-enabled solutions using tools such as Copilot Studio, Azure AI Services, OpenAI/Azure OpenAI services and Python notebooks.
- Help document technical solutions, processes, business rules and data definitions.
- Follow agreed development, deployment, version control, testing and DevOps practices.
- Work collaboratively with data engineers, analytics engineers, business stakeholders, consultants and the wider Digital team.
- Actively learn new tools, technologies and delivery methods as ASUK’s data and digital platforms continue to evolve.
Tools and Technologies
The Role May Involve Exposure To
- Azure Data Factory
- Azure SQL / Synapse
- Microsoft Fabric
- Databricks
- Power BI
- SQL
- Python
- PySpark / notebooks
- Power Apps
- Power Automate
- Copilot Studio
- Azure AI Services
- OpenAI / Azure OpenAI services
- REST APIs
- Azure DevOps
- Git / version control
- Tabular Editor
Essential
Skills, Experience and Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Science, Data, Engineering or an equivalent relevant discipline/experience.
- Practical experience in data through university, placement, work experience, personal projects or equivalent.
- Baseline technical skillset in one or more relevant areas such as SQL, Python, Power BI, databases, data analysis, software development, automation or cloud technologies.
- Strong interest in data, analytics, automation, AI and digital technology.
- Growth mindset, with the ability to learn quickly, ask good questions and respond positively to feedback.
- Curious, proactive and willing to explore new tools, technologies and ways of working.
- Good problem-solving skills and attention to detail.
- Strong communication skills and ability to work with both technical and non-technical colleagues.
- Ability to manage assigned tasks responsibly and work effectively as part of a team. Desirable
- Exposure to Microsoft data and analytics tools such as Azure, Power BI, Power Apps, Power Automate or Fabric.
- Awareness of data modelling, reporting, APIs, automation, AI, machine learning or cloud platforms.
- Familiarity with Agile delivery, DevOps, Git or software development lifecycle practices.
Organisational Value
This role helps ASUK build future internal capability across data, analytics, automation and AI. The Graduate Data & Digital Engineer will support the creation of scalable data foundations, trusted reporting, improved business processes and modern AI-enabled ways of working, while developing into a rounded data and digital professional.