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- Tasks: Design and build data pipelines to support AI and analytics at Convatec.
- Company: Join Convatec, a global leader in medical solutions, making a real difference.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of an innovative team transforming healthcare with AI technology.
- Qualifications: 3-6 years in data engineering or applied AI; strong Python and SQL skills.
- Other info: Collaborative environment with a focus on continuous learning and improvement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Convatec
Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec’s revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC).
Position Overview
The AI Data Engineer plays a critical role within Convatec’s AI Centre of Excellence (CoE), supporting the design, build, and deployment of data and AI workflows that power intelligent automation and data-driven decision-making across the enterprise. This hands-on position focuses on building scalable data pipelines, integrating AI services, and ensuring data readiness for advanced analytics and AI solutions. The AI Data Engineer will work closely with AI Engineers, Data Scientists, and platform specialists to ensure reliable and efficient data flow across Convatec’s Azure-based ecosystem, including Microsoft Fabric, Azure Data Factory, Synapse, and Azure AI Services. This role is ideal for someone with solid experience in data engineering or applied AI who thrives in a collaborative environment, enjoys problem-solving, and is eager to contribute to Convatec’s journey toward becoming an AI-enabled enterprise.
Key responsibilities and authority
- Data & AI Engineering
- Design, build, and maintain data pipelines using Azure Data Factory, Microsoft Fabric, and Synapse to support AI and analytics workloads.
- Prepare and transform data for AI model training, inference, and retrieval workflows.
- Implement and maintain Lakehouse data models (Delta/Parquet) following Medallion architecture principles.
- Collaborate with AI Engineers to ensure seamless data flow between enterprise systems, APIs, and AI models.
- AI Integration & Deployment
- Use Azure Machine Learning, Azure OpenAI, and Cognitive Services to integrate and operationalize AI solutions.
- Develop and test data interfaces and lightweight microservices connecting AI models to business processes.
- Support deployment, monitoring, and performance optimization of AI and automation workflows in production environments.
- Contribute to the setup and maintenance of retrieval-augmented generation (RAG) pipelines and agent-based automation frameworks.
- Automation & DevOps
- Use Git and Azure DevOps for version control, CI/CD automation, and deployment of data and AI assets.
- Contribute to Infrastructure-as-Code (IaC) practices using Bicep or Terraform for repeatable deployments.
- Support data and AI governance by documenting processes, lineage, and configuration details to ensure compliance and reusability.
- Collaboration & Continuous Learning
- Work closely with AI, BI, and DevOps teams to deliver integrated, business-ready solutions.
- Translate stakeholder and project requirements into robust, scalable data and AI components.
- Contribute to internal documentation, knowledge sharing, and upskilling initiatives within the AI CoE.
- Stay current with emerging technologies in AI agents, automation, and data platforms.
Key Requirements
- Essential:
- 3–6 years’ experience in data engineering, applied AI, or related technical roles.
- Proficiency with Azure Data Factory, Microsoft Fabric, or Synapse Analytics.
- Strong programming skills in Python and SQL for data manipulation and API interaction.
- Understanding of Lakehouse and Medallion architectures, including Parquet, Delta, and JSON data formats.
- Familiarity with Azure AI Services, including Azure ML, Azure OpenAI, and Cognitive Services.
- Experience using Git and Azure DevOps for source control and workflow automation.
- Strong analytical, debugging, and problem-solving abilities with attention to detail.
- Desirable:
- Exposure to Power BI, Dataverse, or data mesh concepts.
- Experience with API development, containerization (Docker), or MLOps practices.
- Interest in AI agent frameworks, prompt engineering, or retrieval-augmented generation (RAG) workflows.
Soft Skills & Attributes
- Curious, adaptable, and eager to learn new tools and technologies.
- Effective communicator who enjoys collaborating across teams and disciplines.
- Proactive, structured, and committed to delivering high-quality, reliable data solutions.
- Thrives in a fast-evolving environment and embraces continuous improvement.
Education/ Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. Relevant certifications in Azure Data Engineering or AI/ML highly desirable.
Working conditions
Hybrid working 1 number of days per week in the office driven by business requirements as Convatec has a flexible approach to office working. Our products make a big difference every day. So will your contribution. The work you do will mean more, because it’ll make things better for your team, our business or our customers’ lives. It’ll inspire you to deliver to your very best. And we’ll be right behind you when you do.
This is a challenge more worthwhile. This is work that’ll move you.
#ForeverCaring
AI Data Engineer employer: Convatec
Contact Detail:
Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Convatec employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for those interviews! Research Convatec’s products and values, and think about how your skills as an AI Data Engineer can contribute to their mission. Show them you’re not just another candidate, but someone who truly cares about their work.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and AI. You could even do mock interviews with friends or use online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Convatec. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace AI Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Engineer role. Highlight your experience with Azure Data Factory, Microsoft Fabric, and any relevant projects that showcase your data engineering skills. We want to see how you fit into our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data engineering. Share specific examples of how you've solved problems in previous roles, and let us know why you want to join Convatec.
Showcase Your Skills: Don’t forget to mention your programming skills in Python and SQL. If you’ve worked with Lakehouse architectures or Azure AI Services, make sure to include that too! We love seeing candidates who are proactive and eager to learn.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at Convatec
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Microsoft Fabric, and Synapse Analytics. Brush up on your Python and SQL skills too, as these will be crucial for data manipulation and API interactions during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering or AI roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled complex problems effectively.
✨Understand the Company’s Mission
Familiarise yourself with Convatec’s commitment to improving lives through medical solutions. Be ready to explain how your role as an AI Data Engineer can contribute to their mission of being 'forever caring' and enhancing patient outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future technologies Convatec is exploring. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
