At a Glance
- Tasks: Design and implement AI-driven solutions while collaborating with stakeholders.
- Company: Growing organisation focused on modern data, automation, and AI.
- Benefits: Competitive salary plus 20% bonus, hybrid working, and career development.
- Other info: Opportunity to work independently in a hands-on tech environment.
- Why this job: Join a dynamic team and shape the future of data and AI solutions.
- Qualifications: Experience in Microsoft technologies, SQL, and strong communication skills.
The predicted salary is between 60000 - 72000 € per year.
Amtis is proud to be recruiting for a Data & AI Solutions Developer on behalf of a growing organisation investing heavily in modern data, automation, and AI capability. This is a unique opportunity for someone who enjoys combining technical capability with stakeholder engagement. You'll operate as the organisation's primary in-house developer, working closely with senior stakeholders, technology teams, and external vendors to design practical, scalable solutions across data engineering, automation, and AI. This role is heavily focused on Microsoft technologies and would suit someone comfortable working independently in a hands-on environment.
What you'll be doing:
- Designing and implementing Copilot and AI-driven solutions
- Building and maintaining data pipelines and integrations
- Working with large-scale SQL datasets for analytics and reporting
- Developing automation workflows using RPA technologies including UiPath
- Bridging legacy systems with modern Microsoft cloud platforms
- Supporting governance, GDPR compliance, and responsible AI usage
- Collaborating with senior stakeholders to shape data and AI initiatives
- Supporting colleagues with AI adoption and best practice usage
Tech environment:
- Azure Data Factory
- Azure Synapse Analytics
- Azure SQL
- Azure Data Lake
- .NET / .NET Core
- Power Platform
- Copilot Studio
- Azure AI Services
- UiPath
- GitHub / Azure DevOps
What we're looking for:
- Strong Microsoft data and development experience
- Advanced SQL and data modelling capability
- Experience building ETL pipelines and data warehousing solutions
- Exposure to AI technologies and automation platforms
- Strong communication and stakeholder management skills
- Ability to work independently and prioritise effectively
- Understanding of governance, compliance, and data privacy frameworks
- Experience working with complex business data environments would be beneficial.
If you are interested in this opportunity and would like to hear more, please apply with an updated CV and contact information, or reach out directly.
Data & AI Solutions Developer employer: Amtis Professional Ltd
Amtis is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have the opportunity to develop your skills in cutting-edge technologies while enjoying the flexibility of hybrid working. The company invests heavily in modern data and AI capabilities, ensuring that you are at the forefront of industry advancements, all while being part of a supportive team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Solutions Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft technologies and AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and AI. Be ready to discuss your experience with SQL, automation workflows, and stakeholder engagement. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data & AI Solutions Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data & AI Solutions Developer role. Highlight your Microsoft technologies experience and any relevant projects you've worked on, especially those involving data engineering and AI.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've engaged with stakeholders or developed solutions in previous roles, and don’t forget to show your enthusiasm for working with data and AI!
Showcase Your Technical Skills:Since this role is heavily focused on Microsoft technologies, make sure to list your technical skills clearly. Mention your experience with Azure, SQL, and any automation tools like UiPath. We want to see what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Amtis Professional Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft technologies mentioned in the job description. Brush up on Azure Data Factory, SQL, and automation tools like UiPath. Being able to discuss your hands-on experience with these tools will show that you're not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed and implemented solutions in previous roles. Think about specific challenges you faced and how you overcame them, especially in data engineering or AI projects. This will demonstrate your ability to think critically and work independently.
✨Engage with Stakeholders
Since this role involves a lot of stakeholder engagement, practice how you would communicate complex technical concepts to non-technical audiences. Be ready to discuss how you’ve collaborated with senior stakeholders in the past and how you can bridge the gap between tech and business needs.
✨Understand Compliance and Governance
Familiarise yourself with GDPR compliance and data governance frameworks. Be prepared to discuss how you’ve ensured responsible AI usage and data privacy in your previous projects. This knowledge will highlight your awareness of the broader implications of your work.
