Data Engineer

The Beacon School

Banstead

Hybrid

GBP 40,000 - 45,000

Full time

2 days ago
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Benefits offered by this job

Local government pension scheme
Flexible working options
Generous holiday allowance
Healthcare benefits
Wellbeing initiatives
Staff benefits portal
Community and collaboration model

Job summary

GLF Schools is seeking a skilled Data Engineer to join One GLF Insights and own the engineering that powers our data platform at The Beacon School, Banstead. You will build and optimise pipelines, create trusted data layers, and develop governed Power BI models to enable reliable insights for pupils, staff and schools.

Working with the Head of Data, you will shape architecture and standards, extend data sources beyond education to finance, workforce and operations, and ensure quality, privacy

Qualifications

  • Practical experience of building and supporting modern cloud data platforms, ideally Microsoft Fabric or a comparable Azure environment.
  • Strong Python, PySpark and SQL skills, together with experience of Lakehouse, Delta tables, medallion architecture and incremental loading.
  • Experience of analytical data modelling, Power BI semantic models, DAX and row‑level security.
  • A disciplined approach to data quality, testing, monitoring, documentation and controlled deployment.
  • A clear understanding of data protection, secure access and the responsibilities involved in handling personal and sensitive information.
  • The ability to investigate inherited solutions, solve complex problems and explain technical matters clearly to different audiences.

Responsibilities

  • Build, maintain and optimise data pipelines and transformations in Microsoft Fabric using Data Factory, Lakehouse, notebooks, SQL, Python and PySpark.
  • Develop trusted Bronze, Silver and Gold data layers and reusable engineering frameworks for reliable, scalable processing.
  • Create automated data‑quality, reconciliation, logging, monitoring and recovery controls.
  • Develop governed Power BI semantic models and shared dimensions that provide consistent definitions across GLF Schools.
  • Implement secure access, including dynamic row‑level security, least‑privilege controls and appropriate handling of sensitive data.
  • Bring existing pipelines and technical knowledge into sustainable internal ownership, supported by source control, testing and high‑quality documentation.
  • Work with education, finance, HR, MIS, IT and school colleagues to translate operational needs into trusted data products.

Skills

Python
PySpark
SQL
Lakehouse
Delta tables
Medallion architecture
Incremental loading
Data modelling
Power BI
Data governance

Tools

Microsoft Fabric
Azure (comparable)

Job description

Help shape the next chapter of One GLF Insights

Join GLF Schools at an exciting point in our data journey. We have established One GLF Insights, our trust-wide data and analytics platform, to bring together trusted information from across education and operational systems. Built on Microsoft Fabric and Power BI, it is creating a consistent, secure and accessible view of performance across the trust, regions, clusters and schools.

We are now looking for a skilled and curious Data Engineer to help us bring more of this capability in-house, strengthen the foundations of the platform and expand the insight it provides. This is an opportunity to do more than maintain an existing service: you will help shape how data is engineered, governed and used across a large and diverse family of schools.

Your opportunity

Working with our Head of Data, you will take hands‑on technical ownership of the engineering that powers One GLF Insights. You will build and optimise pipelines, Lakehouses, data‑quality controls and governed semantic models, helping colleagues turn complex information into reliable insight that supports better decisions for pupils, staff and schools.

You will join a collaborative team with visible senior sponsorship and the chance to influence architecture, standards and ways of working from an early stage. As One GLF Insights grows, you will help extend it beyond existing education data to approved finance, workforce and operational sources, while ensuring that quality, security, privacy and sustainability remain central.

What you will do
  • Build, maintain and optimise data pipelines and transformations in Microsoft Fabric using Data Factory, Lakehouse, notebooks, SQL, Python and PySpark.
  • Develop trusted Bronze, Silver and Gold data layers and reusable engineering frameworks for reliable, scalable processing.
  • Create automated data‑quality, reconciliation, logging, monitoring and recovery controls.
  • Develop governed Power BI semantic models and shared dimensions that provide consistent definitions across GLF Schools.
  • Implement secure access, including dynamic row‑level security, least‑privilege controls and appropriate handling of sensitive data.
  • Bring existing pipelines and technical knowledge into sustainable internal ownership, supported by source control, testing and high‑quality documentation.
  • Work with education, finance, HR, MIS, IT and school colleagues to translate operational needs into trusted data products.
What we are looking for
  • Practical experience of building and supporting modern cloud data platforms, ideally Microsoft Fabric or a comparable Azure environment.
  • Strong Python, PySpark and SQL skills, together with experience of Lakehouse, Delta tables, medallion architecture and incremental loading.
  • Experience of analytical data modelling, Power BI semantic models, DAX and row‑level security.
  • A disciplined approach to data quality, testing, monitoring, documentation and controlled deployment.
  • A clear understanding of data protection, secure access and the responsibilities involved in handling personal and sensitive information.
  • The ability to investigate inherited solutions, solve complex problems and explain technical matters clearly to different audiences.

One GLF Insights is a strategic programme with the ambition to make high‑quality data easier to access, understand and act upon across our trust. In this role, your work will have a direct and visible impact: reducing manual reporting, improving confidence in information and enabling leaders to focus more quickly on the actions that make a difference.

If you are motivated by purposeful data engineering, enjoy turning complexity into dependable services and want to help build a long‑term data capability within education, we would welcome your application.

Join the GLF Schools Community

GLF currently has 35 schools in the primary phase, and 8 secondary schools. Our schools span a wide area, including Oxfordshire, Wokingham, Surrey, Croydon and West Sussex.

As a part of GLF Schools, you will join a community of staff dedicated to transforming education. With regular progression discussions, there will be a wealth of opportunities for you to grow your career, whether in one of our 43 academies or in our central team.

  • A growing Multi Academy Trust with over 2,500 colleagues and over 19,000 children
  • Founded upon the values of Respect, Inclusivity, Integrity and Kindness
  • 43 primary and secondary schools across 7 Local Authority areas across Southern England
  • We work as a community whilst ensuring each school maintains its own unique identity
  • Committed to ensuring all children and young people receive the best possible education
Our Employment Offer

GLF Schools has a generous employment offer, which allows all our colleagues to Grow, Learn and Flourish.

  • Access to our highly competitive local government pension scheme
  • Flexible working options
  • Generous holiday allowance
  • Healthcare benefits
  • Work life and family friendly policies
  • Employee wellbeing initiatives
  • Staff benefits portal
  • Community and collaboration working model
The Details

Salary: Senior Specialist £40,000 - £45,000 FTE

Hours: 36 hours a week, 52 weeks a year

Base school: The Beacon School, Banstead (with hybrid working options)

Start date: January 2027

Advert Closing Date: 18th November 2026

Interview Date: 24th November 2026

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