Senior Data Engineer - NES00700

Senior Data Engineer - NES00700

Full-Time 53351 - 55050 £ / year (est.) No working from home possible
North East Scotland College

At a Glance

  • Tasks: Lead the development of a modern data platform using Microsoft Fabric and Power BI.
  • Company: Join North East Scotland College, a forward-thinking institution focused on data innovation.
  • Benefits: Competitive salary, flexible working options, and a commitment to staff wellbeing.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.
  • Why this job: Be at the forefront of transforming data services in education and make a real impact.
  • Qualifications: Degree in Computer Science or related field, with experience in Microsoft Fabric and data solutions.

The predicted salary is between 53351 - 55050 £ per year.

Full time/Permanent

Predominantly Aberdeen City Campus, with visits to our Aberdeen Altens and Fraserburgh Campuses (depending on business requirements)

Salary: £51,533.51 - £55,050.10 per annum

Salary increasing to £53,285.65 - £56,921.80 per annum from 1st September 2026

Build the Future of Data at North East Scotland College. We are investing in a modern Microsoft Fabric data platform and are looking for an experienced Senior Data Engineer to help shape, build and lead the next generation of data and analytics services across the College. This is a rare opportunity to join at the start of an exciting transformation programme.

Working within our IT & Digital Services Team, you will play a pivotal role in establishing a trusted, scalable and governed data platform that supports reporting, analytics and data-driven decision making across the organisation. You will be our lead technical specialist for Microsoft Fabric, helping to deliver a single source of truth for organisational data whilst enabling powerful self-service analytics through Power BI.

If you are excited by the opportunity to build and evolve a modern Microsoft Fabric data platform that will transform how the College uses data, we would love to hear from you. NESCol is a disability confident employer. We offer a variety of working options in line with business requirements and place great importance on staff wellbeing. We welcome and encourage applicants from diverse backgrounds.

The closing date for applications will be Friday 31 July 2026.

Interested? Want to know more? For more information on this vacancy please visit our My Job Scotland website page on www.myjbscotland.gov.uk, email jobs@nescol.ac.uk, or call People Services on 01224 612244 (voicemail).

Person Specification

Qualifications

  • Degree (SCQF Level 9 or equivalent) in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).
  • Evidence of continuous professional development.
  • Relevant Microsoft certifications in Microsoft Fabric, Azure Data Engineering, or Power BI.

Experience and Knowledge

  • Demonstrable experience designing, developing, and supporting data solutions using Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, and notebooks.
  • Strong proficiency in SQL, data modelling, and database design principles.
  • Experience building, optimising, and maintaining scalable ETL/ELT data pipelines and workflows.
  • Sound understanding of modern data architecture, including Lakehouse, data warehousing, and medallion design patterns.
  • Experience using Python, PySpark, or Spark SQL for data transformation, automation, and analytics workloads.
  • Knowledge of data governance, data quality management, security controls, and regulatory compliance requirements.
  • Experience working with large-scale, complex, and diverse datasets in cloud-based environments.
  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve data-related issues effectively.
  • Experience collaborating with technical and non-technical stakeholders to translate business requirements into data solutions.
  • Understanding of software engineering and data engineering best practices, including version control, testing, documentation, and code review processes.

Desirable

  • Experience developing Power BI semantic models, reports, and dashboards, including performance optimisation techniques.
  • Experience implementing CI/CD processes and deployment automation for data platforms using tools such as Azure DevOps or GitHub.
  • Familiarity with data integration patterns, REST APIs, and event-driven data architectures.
  • Knowledge of Microsoft Azure data services and their integration with Microsoft Fabric.
  • Experience supporting data governance initiatives, including metadata management, data lineage, and master data management.

Skills

  • Oral and written communication skills.
  • Numeracy skills.
  • The ability to prioritise tasks and meet deadlines.
  • Team working skills.
  • Strong creative ability.
  • Attention to detail with strong analytical skills.

Personal Qualities

  • Self-motivated.
  • Committed to people development.
  • Committed to customer service and quality improvement.
  • Ability to relate to people.
  • Able to develop positive working relationships.

Additional Requirements

  • Commitment to College values and equal opportunities.
  • Able to work flexibly to meet the demands of the post.

Senior Data Engineer - NES00700 employer: North East Scotland College

North East Scotland College is an exceptional employer that prioritises staff wellbeing and professional development, offering a supportive work culture where diversity is celebrated. As a Senior Data Engineer, you will be at the forefront of an exciting transformation programme, with opportunities to shape innovative data solutions while enjoying a competitive salary and flexible working options across our Aberdeen campuses.

North East Scotland College

Contact Details:

North East Scotland College Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Senior Data Engineer - NES00700

Microsoft Fabric
Data Factory
Lakehouse
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SQL
Data Modelling
Database Design Principles

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