Data Engineer Graduate Apprentice

iGii is looking for a Graduate Apprentice in Data Engineering to join their rapidly expanding Data & Digital Infrastructure team. This role will be focused on strengthening our data foundations to accelerate data‑led decision making across the business.

This is an excellent opportunity to work in a high‑growth environment with a fast‑paced and collaborative culture where you will work with some fantastic customers conducting research at the forefront of science and technology, while completing a fully funded Data Science degree through a Graduate Apprenticeship with Heriot‑Watt University.

Your Purpose in the Role

As a Graduate Apprentice, you will combine paid work at iGii with academic study, spending approximately 80% of your time in the workplace and 20% at university. Your learning will be continuously applied to real business challenges, supporting the development of modern, scalable data and digital infrastructure.

This role plays a critical part in reinforcing our data engineering and analytics capability, allowing you to develop strong technical foundations across data pipelines, data quality, and visualisation, whilst working towards a BSc (Hons) in Data Science.

From the outset, your working pattern will typically be four days per week on‑site at our facility in Stirling, and one day per week at Heriot‑Watt University, for a three‑year period.

What You Will Do and How You Will Succeed

You will succeed in this role by being curious, methodical, and proactive, taking ownership of data foundations and enabling others to make better, faster decisions through high‑quality data. Your responsibilities will include:

Data Engineering and Infrastructure

• Build, maintain, and improve data pipelines that support reliable and timely access to data
• Support the ingestion, transformation, and storage of data from multiple sources
• Help ensure data structures are scalable, resilient, and well documented

Data Quality and Monitoring

• Contribute to the implementation of modern approaches to data quality monitoring
• Support data integrity, validation, and consistency across systems
• Assist in developing metrics and monitoring approaches to ensure confidence in data outputs

Analytics and Visualisation

• Develop dashboards and visualisations to support operational, scientific, and manufacturing decision making
• Work closely with stakeholders across R&D, Operations, Manufacturing, Sales and Finance to understand data needs
• Enable self‑service access to trusted data wherever appropriate

Supporting Data‑Led Problem Solving

• Enable teams to adopt data‑led approaches through better tools, data availability, and insights
• Collaborate closely with the Data Scientist and wider teams to free up capacity for advanced data science initiatives

Professional and Academic Development

• Complete all coursework, assessments, and learning required for the Data Science Graduate Apprenticeship
• Continuously build technical capability across data, analytics, and digital tools
• Apply learning directly to live business challenges

Who We Are Looking For

We are looking for a Graduate Apprentice who is curious, analytical and motivated to build a career in data while studying towards a university degree.

This role would suit someone who:

• Has a genuine interest in data, technology and problem‑solving, and wants to understand how data can be used to inform decision‑making in a commercial setting
• Enjoys working with detail, patterns and systems, while also being able to step back and understand the wider business context
• Is comfortable learning new tools, technologies and ways of working, and can apply that learning in practice
• Communicates clearly and effectively, both in writing and verbally, and can adapt their communication style to different audiences
• Takes ownership of their development, demonstrating a growth mindset and openness to feedback
• Can balance the demands of work‑based learning alongside academic study
• Is organised, reliable and able to manage multiple priorities with appropriate support

Entry Requirements for the Graduate Apprenticeship Programme

• SQA Advanced Highers at BBB including Mathematics, plus Computing or similar and excellent SQA Highers or Scottish Baccalaureate
• A‑Levels at ABB including Mathematics, plus Computing or similar
• SQA HND in a computing/engineering discipline (or a relevant Modern Apprenticeship) with Engineering Mathematics 1, 2 & 3 (or equivalent)
• A combination of qualifications totalling 96 SCQF credits at level 7
• Desirable: experience with Python within a data analysis/processing context

What We Offer

This role is offered as a three‑year fixed‑term paid role combined with a fully funded Graduate Apprenticeship degree. In practice this looks like:

• The opportunity to earn a BSc (Hons) while gaining meaningful, real‑world experience
• A structured balance of on‑the‑job learning (approximately 80%) and university study (approximately 20%)
• Dedicated support from experienced colleagues, alongside exposure to a professional, collaborative working environment
• The chance to develop high‑demand technical and analytical skills that are directly applicable in the workplace
• Working in a supportive culture that encourages learning, curiosity and continuous improvement
• Strong foundations for future progression into data, analytics or technology‑focused roles on completion of the programme

In addition to a competitive salary and 33 days of annual leave (including statutory holidays) we offer a comprehensive benefits package designed to support your wellbeing and professional growth. This includes:

• Private medical insurance
• Group life insurance
• Income protection
• Access to mental wellbeing resources and support, including up to six coaching or counselling sessions per year through our wellbeing partner, Oliva
• Training and development opportunities to help grow your career
• Freedom to arrange your schedule around our core working hours, designed to help you perform at your best.

Where We Are

We are based in Stirling in central Scotland, a city with rich historical significance. Stirling offers quick access to Edinburgh and Glasgow by public transport, and easy access to the Highlands and rural Scotland.

Apply Because You Want to

• Work with a diverse, international team on a challenge that will positively impact the world.
• Join a mission‑driven company that’s focused on delivering far better and more sustainable products
• Join a high‑growth company and put some big wins on your CV wherever you are in your career.
• Surround yourself with very smart, open, curious, and action‑oriented people with opportunities to learn at every turn.

What Happens Next

We have a range of customers from a variety of backgrounds, industries and locations. Therefore, we are searching for a diverse group of talented individuals who are passionate about what they do to collaborate and produce the best possible work for our consumers.

If this sounds like the role and company for you, apply by following the link.

If you are successfully selected for interview, :

• Stage 1: An introductory remote discussion with the hiring managers, typically lasting forty‑five minutes. An opportunity to find out more about the role and tell the team a bit about your background and experience.
• Stage 2: If successful in the first stage interview, we will invite you to attend a stage two interview within our office space in Stirling.

We are happy to make any reasonable adjustments required to the interview process, please let us know upon application any requirements.

We will close the application link to the role once we have received an ample talent pool full of superstar applicants. Don’t worry though, if you like the look of the role but need a little longer to perfect your application, just get in touch at and we will do our best to accommodate your requirements.

The Company

iGii are a world‑class team of technologists, scientists, engineers, product developers. We produce Gii, an advanced 3D carbon nanomaterial transforming electrochemical sensing.

Engineered as a pure, porous, 3D carbon nanostructure, Gii provides exceptional electrochemical performance, enhanced sensitivity, and long‑term stability, making it the ideal material for next‑generation sensing applications. The novel properties of Gii also allow it to be incorporated into devices across a range of sectors, from automotive to electronics. We’ve previously used Gii as a component in heating elements, thermocouple, electrodes and EMI shields.

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