Data Analytics Engineer

Dubai Heights Academy is a warm and welcoming place to work. Located in the Al Barsha South area of Dubai, this is an exciting opportunity to join our team.

The school opened in 2017. It offers an inclusive, exciting and outstanding education to an international community of students from FS1 to Year 12 (2025-2026) and will continue to grow organically to Year 13.

The campus is state-of-the-art with separate buildings for each phase as well as a 380 seat auditorium. There are three temperature controlled swimming pools, fully equipped science and computer labs, specialist rooms for art, DT, music, and drama, a library, two multipurpose sports halls, a full size football pitch, a variety of outdoor play areas and a spacious canteen. Our sprawling 292,000 sqft campus boasts 3 buildings dedicated for each phase, and we are thrilled to announce the recent opening of our brand new secondary building in August 2025, marking our most ambitious project yet.

Dubai Heights Academy provides a curriculum that meets the needs of all of our students and follows the National Curriculum for England as the basis of its curriculum. This has been tailored to comply with local requirements and supplemented with Arabic language, Islamic Studies, Moral Education and Social Studies. In addition, Dubai Heights Academy has partnered with MIT (Massachusetts Institute of Technology) to develop and deliver a bespoke AI (artificial intelligence) project-based programme for secondary and an early language programme using social robots for Primary, to further enrich our broad and balanced curriculum.

We are driven by an underlying philosophy captured by our school ethos of ‘Every Child, Every Mind and Everybody matters’ and believe that every student deserves the best possible education, regardless of background and ability.

Job Overview

Dubai Heights Academy has an opening for a skilled Data Analytics Engineer to design, build, and maintain automated data systems that transform raw data into reliable, actionable insights. This role focuses on eliminating manual data handling through the use of coding, automation, and robust data architecture, supporting strategic decision-making across academic, operational, and financial areas of the school.

This is a technical data role and is distinct from school MIS administration. The successful candidate will work alongside existing systems (including iSAMS) but will not be responsible for system administration or user support.

Responsibilities:

Data Engineering & Automation

• Design and build automated data pipelines to extract, clean, transform, and load data from multiple sources (e.g. MIS, finance systems, spreadsheets).

• Develop and maintain scripts and workflows to reduce manual data processing and improve efficiency.

• Ensure data accuracy, consistency, and integrity across all reporting outputs.

Data Analysis & Reporting

• Create structured datasets and analytical models to support leadership reporting and operational planning.

• Develop dashboards, reports, and visualisations for senior leaders using appropriate BI or analytics tools.

• Perform trend analysis, forecasting, and scenario modelling to support school planning and growth.

Systems & Integration

• Integrate data from iSAMS and other school platforms into centralised reporting systems.

• Work with stakeholders to define data requirements and translate them into technical solutions.

• Maintain documentation for data systems, pipelines, and processes.

Governance & Best Practice

• Apply best practices in data security, access control, and compliance.

• Support data governance standards and improve data quality across the organisation.

• Ensure scalability and sustainability of data systems as the school grows.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related analytical discipline, or equivalent practical experience.

• Demonstrable training or certification in data analytics, data engineering, or programming (e.g. Python, SQL).

• Strong coding skills (e.g. Python, SQL or similar).

• Experience building automated data pipelines and workflows.

• Strong data modelling and analytical skills.

• Experience working with large datasets from multiple sources.

• Ability to translate complex data into clear insights for non-technical stakeholders.

Desirable

• Experience integrating data from school MIS platforms (e.g. iSAMS) or similar enterprise systems.

• Experience with BI tools (e.g. Power BI, Tableau, Looker, or similar).

• Experience with cloud-based data platforms or databases.

• Experience in working with google sheets.

• Experience in an education or not-for-profit environment.
  

These above-mentioned duties are neither exclusive nor exhaustive, the post-holder may be required to carry out other duties as required by the school management.

In return we can offer you:

A positive and innovative learning culture supported by students, staff, parents and governors

A collaborative and supportive attitude amongst staff which promotes a sense of teamwork and unity

A Senior Leadership team who is committed to promoting the best environment and outcomes for staff and students

Our Compensation and Benefits package includes (where applicable):

Competitive tax-free salary

Visa and medical insurance coverage

End of service gratuity in line with UAE Labour Law

Interviews will take place at Dubai Heights Academy or via Zoom, should a face to face interview not be possible. Closing date for applications is as advertised, however interviews may take place ahead of this date so an early application is advantageous. 

Whilst we thank all applicants, only shortlisted candidates will be contacted.

Safeguarding Statement:

Dubai Heights Academy is totally committed to safeguarding and promoting the welfare of children and young people and as such expects all its employees to share this commitment. All new staff will be subject to enhanced pre-employment clearance including identity checks, criminal background checks (from your home country/country of residence), qualification checks (attestation) and employment checks to include an exploration of any gaps in employment and at least two satisfactory professional references, which will be verified. Applicants may also be required to provide other applicable personal documents e.g. degree, marriage certificate etc. A full checklist will be provided to successful candidates.