Graduate Data & Digital Engineer

Graduate Data & Digital Engineer - Goldthorpe/ Middlesbrough

Altrad are currently looking for a Graduate Data & Digital Engineer to join the team based at Middlesbrough or Goldthorpe to 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.

Key Deliverables

• 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.

Key Requirements/ 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.
• 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.