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- Tasks: Join our team as a Graduate Data & AI Engineer, working on exciting projects in data and AI.
- Company: Bytes is a leading IT solutions provider, dedicated to innovation and employee growth since 1982.
- Benefits: Enjoy continuous training, a collaborative culture, and a range of perks for your wellbeing.
- Why this job: Gain hands-on experience with Azure technologies while developing consulting skills in a dynamic environment.
- Qualifications: A degree in Computer Science or related field is essential; Python knowledge and cloud awareness are key.
- Other info: Opportunity to engage with clients and work on cutting-edge AI initiatives.
The predicted salary is between 28800 - 48000 £ per year.
Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organizations to modernize and digitally transform their IT infrastructures. Founded in 1982, Bytes has experienced significant growth, now employing over 750 people across seven locations in the UK and Ireland, with a turnover surpassing £1.8 billion in 2023. At Bytes, we nurture talented individuals to achieve remarkable outcomes and are dedicated to supporting our employees through continuous training, guidance, and development to help you advance and fulfil your career goals. We foster a culture of innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing.
PURPOSE OF JOB: We’re looking for a motivated and technically capable Graduate Data & AI Engineer to join our growing Microsoft consultancy team. This is an exciting opportunity for someone early in their career to gain hands-on experience delivering real-world Data and AI solutions on the Azure platform, while also developing consulting skills through direct customer engagement.
In this role, you’ll support the design, development, and deployment of data pipelines, analytics solutions, and AI-powered applications. You’ll work alongside experienced engineers and consultants, contributing to a wide range of projects - from traditional data engineering and reporting to modern machine learning and Generative AI initiatives. We’re looking for someone who is passionate about technology, eager to learn, and comfortable working in a dynamic environment. You should have a foundation in Python, data handling, and cloud concepts, and an interest in the Microsoft Azure ecosystem. Over time, you’ll also gain exposure to customer-facing activities such as workshops, demos, and project delivery sessions.
Key areas you’ll gain experience in:
- Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse)
- Programming with Python for data and AI workloads
- Data pipelines, ETL/ELT processes, and analytics foundations
- App development techniques to integrate AI capabilities
- Working in secure, enterprise-ready cloud environments
- Consulting fundamentals and effective customer communication
KEY RESPONSIBILITIES:
- Support the design, development, and deployment of Data & AI solutions using Microsoft Azure technologies
- Assist in delivering client-facing engagements, including workshops, solution demos, and project implementation
- Collaborate with senior engineers and consultants to contribute to proofs of concept, pilots, and production projects
- Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture
- Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow)
- Help document technical solutions and contribute to internal knowledge sharing
INDIVIDUAL RESPONSIBILITIES:
- Take ownership of assigned technical tasks, ensuring timely and high-quality delivery
- Proactively develop knowledge across key Azure Data & AI services and contribute to team discussions
- Engage with customers under the guidance of senior consultants to gather requirements and demonstrate solutions
- Build scripts, data flows, or notebooks in Python or similar tools for data processing or AI model integration
- Log and track tasks using project management tools (e.g., DevOps, Jira, or similar)
- Seek feedback and act on it as part of your personal and professional development plan
QUALIFICATIONS, EXPERIENCE, & SKILLS:
- A degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - ESSENTIAL
- Any Microsoft certification (e.g., Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE
- Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL
- Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL
- Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL
- Clear written and verbal communication skills - ESSENTIAL
- Exposure to Azure services such as Azure Machine Learning, Cognitive Services, Azure Data Factory, or Azure OpenAI - DESIRABLE
- Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE
- Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE
CORE COMPETENCIES & SKILLS:
- Growth mindset – actively seeks opportunities to learn and improve
- Team collaboration – works well within delivery teams, supporting peers and contributing positively
- Customer focus – demonstrates empathy, listens well, and communicates clearly with non-technical stakeholders
- Accountability – takes ownership of assigned tasks and sees them through to completion
- Adaptability – comfortable navigating ambiguity and learning in a fast-paced, evolving field
- Attention to detail – produces accurate work, follows standards, and tests thoroughly
- Curiosity & innovation – keeps up with trends in AI/ML and cloud technology, suggesting new ideas or tools
Associate Data & AI Engineer employer: Bytes Software Services
Contact Detail:
Bytes Software Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data & AI Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure services, especially those mentioned in the job description like Azure Machine Learning and Cognitive Services. This will not only help you understand the role better but also show your genuine interest during interviews.
✨Tip Number 2
Engage in hands-on projects or personal initiatives that involve Python and data processing. This practical experience can be a great talking point in interviews and demonstrates your commitment to learning and applying your skills.
✨Tip Number 3
Network with professionals in the field through platforms like LinkedIn. Connecting with current employees at Bytes or similar companies can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare for customer-facing scenarios by practising your communication skills. Since the role involves engaging with clients, being able to clearly explain technical concepts to non-technical stakeholders will set you apart from other candidates.
We think you need these skills to ace Associate Data & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Associate Data & AI Engineer role. Emphasise your knowledge of Python, data handling, and any exposure to Microsoft Azure services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and eagerness to learn. Mention specific projects or coursework related to data engineering or AI that demonstrate your interest and capabilities.
Showcase Relevant Projects: If you have worked on any personal projects, internships, or coursework related to data and AI, be sure to include these in your application. Highlight your contributions and the technologies used, especially if they relate to Azure.
Prepare for Technical Questions: Anticipate technical questions related to Python, data structures, and cloud computing fundamentals during the interview process. Brush up on your knowledge of Azure services and be ready to discuss how you've applied your skills in practical scenarios.
How to prepare for a job interview at Bytes Software Services
✨Show Your Passion for Technology
Make sure to express your enthusiasm for technology and learning during the interview. Share any personal projects or coursework related to Data and AI, especially those involving Python and Azure, to demonstrate your genuine interest in the field.
✨Familiarise Yourself with Azure Services
Before the interview, take some time to research and understand the key Azure Data & AI services mentioned in the job description. Being able to discuss these services and how they relate to real-world applications will show that you are proactive and well-prepared.
✨Prepare for Customer Engagement Scenarios
Since the role involves client-facing engagements, think about how you would approach gathering requirements or presenting solutions. Practising clear communication and empathy will help you convey your ability to connect with non-technical stakeholders.
✨Demonstrate Problem-Solving Skills
Be ready to discuss examples of how you've tackled challenges in your studies or previous experiences. Highlight your problem-solving skills and eagerness to learn new technologies, as these are essential qualities for the role.
