Data & AI Apps Engineer

Nasstar; London; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the remote AI sector seeks a Data & AI Apps Engineer to aid in designing and deploying innovative AI solutions on Microsoft platforms. The role emphasizes rapid prototyping and collaboration with cross-functional teams, offering opportunities for skill enhancement in a dynamic environment, while supporting diverse perspectives in the workplace.

Benefits

Flexible working hours

Professional development opportunities

Diversity and inclusion initiatives

Support for applicants with disabilities

Qualifications

• 2+ years' commercial experience developing Data or AI solutions on Azure.
• Hands-on experience with Azure AI Foundry, Synapse/Fabric, Power BI.
• Familiarity with Agile/Scrum methodologies.

Responsibilities

• Build data pipelines, semantic models, and AI solutions leveraging Microsoft technologies.
• Create and iterate PoCs to showcase technical feasibility and business value.
• Produce clear technical documentation and support pre-sales activities.

Skills

Programming in Python

SQL

C#

React

Analytical thinking

Problem-solving

Communication

Education

Bachelor's degree in Computer Science

Degree in Data Science, AI, or Statistics

Tools

Azure DevOps

GitHub

Job description

Data & AI Apps Engineer

Department: Connectivity

Employment Type: Permanent

Location: Remote, UK

Description

The Data & AI Solutions Developer supports Nasstar's Data & AI Apps practice in designing, building and deploying modern data-driven and AI-powered software solutions on Microsoft technologies.

The role focuses on rapid prototyping, proofs of concept, and production hand-over of AI solutions that leverage AI Foundry, Azure OpenAI, Microsoft Fabric, Copilot Studio, Power Platform and wider Azure services. Working under the guidance of senior engineers, the Data & AI Solutions Developer turns business and technical requirements into demonstrable value for customers, while continuously developing their own skills and certifications.

The typical applications we build use existing closed or open-source foundational models, potentially with some the application of multi-modal, contextual RAG, fine tuning, MCP and other emerging GenAI capabilities. We put emphasis on utilising Microsoft Fabric as a foundational data platform enabling wider Data & AI use cases for our clients.

Key Responsibilities
• Solution development - Build data pipelines, semantic models, AI solutions, and application components using AI Foundry, Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI), Copilot Studio, Azure Functions, and Power Apps. Comfortable using non-Microsoft stack solutions and services if/when required.
• Rapid prototyping & demos - Create and iterate PoCs that showcase technical feasibility and business value, including sample datasets, user flows and visualisations.
• Code quality & DevOps - Follow Git-based workflows, write unit tests, participate in pull-request reviews, and contribute to CI/CD pipelines in Azure DevOps or GitHub Actions.
• Documentation & knowledge sharing - Produce clear technical documentation, hand-over guides and demo scripts; present findings to internal teams and customers.
• Collaboration & support - Work closely with solution architects, data scientists, UX designers and business analysts in Agile project teams; assist pre-sales with estimations and technical input. Interacting with clients to understand their business challenges, goals, and requirements.

Skills, Knowledge and Expertise

Education & Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Maths, Physics or related field.
• Degree in Data Science, AI, Statistics desirable but not essential.

Experience:

• 2+ years' commercial experience (including internships or placement year) developing Data or AI solutions on Azure.
• Hands-on experience building prototypes, demos or PoCs that use services such as Azure AI Foundry, Synapse/Fabric, Power BI, or Copilot Studio.
• Good understanding of LLMs and other foundational models capabilities and limitations.
• Familiarity with Agile/Scrum ways of working and participation in sprint ceremonies
• Exposure to ETL/ELT pipelines, data modelling, or ML/AI workloads.

Skills / Aptitude:

• Programming in Python, SQL, C#, and/or React (or similar); ability to write clean, maintainable code.
• Proficient with Git, Azure DevOps or GitHub; comfortable with CLI tools.
• Strong analytical thinking, problem-solving and communication skills.
• Growth mindset, curiosity, and ability to quickly learn new services.
• Understanding of data warehousing concepts, star/snowflake schemas, and DAX.
• Basic knowledge of MLOps or prompt engineering for generative AI.

Benefits

Are you ready to join the Data & AI Apps team at Nasstar?
• AI is in our DNA - We live and breathe AI. It's a natural part of how we think and work.
• People come first - Progress starts with understanding and empowering the humans behind the tech. We think augmentation, not automation.
• We learn by doing - Curiosity drives us to experiment, take smart risks, and grow from every outcome.
• We stand out - Every interaction with us is intentionally different, leaving a lasting impression.
• We build with purpose - Where AI meets industry insight, we create solutions that deliver real business impact.

At Nasstar, we believe that diverse perspectives and experiences enrich our teams and drive innovation. We recognise that not every candidate will meet every listed requirement, and that individuals from underrepresented backgrounds may sometimes doubt their suitability for a role due to imposter syndrome. If this position excites you, we warmly encourage you to apply - your unique background and skills could be exactly what we're looking for. Nasstar is committed to providing equal opportunities in employment. All applicants will receive fair and equal treatment, regardless of any legally protected characteristics. We are committed to providing reasonable accommodations to applicants with disabilities, so please make us aware of your needs upon application.