Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines to support AI and analytics workflows.
- Company: Join Convatec, a leading global medical solutions provider.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technologies.
- Qualifications: 3-6 years in data engineering or applied AI; strong Python and SQL skills required.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
The predicted salary is between 30000 - 50000 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.
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. 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.
Languages
- Speaking: Yes English
- Writing/Reading: Yes English
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.
Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
AI Data Engineer employer: Rhian_Convatec
Contact Detail:
Rhian_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, especially those at Convatec. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Azure Data Factory, Python, and all those cool data engineering tools. We want to see your passion shine through!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Share specific examples of how you've tackled challenges in data engineering or AI projects. We love hearing about real-world experiences!
✨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. Plus, it shows you're serious about joining the Convatec 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, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in data engineering and AI.
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 how you can contribute to Convatec’s mission.
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your collaboration skills. Mention any experiences where you’ve successfully worked in a team environment, especially in tech-related projects.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to the right people at Convatec. Don’t miss out on this opportunity!
How to prepare for a job interview at Rhian_Convatec
✨Know Your Tech Stack
Familiarise yourself with Azure Data Factory, Microsoft Fabric, and Synapse Analytics. Be ready to discuss how you've used these tools in your previous roles, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering problems. Highlight your analytical abilities and attention to detail, especially in relation to building scalable data pipelines and integrating AI services.
✨Collaborate Like a Pro
Convatec values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Share specific instances where your collaboration led to successful project outcomes, particularly in AI or data-driven environments.
✨Stay Current with Trends
Demonstrate your passion for continuous learning by discussing recent advancements in AI and data engineering. Mention any relevant courses, certifications, or projects that showcase your commitment to staying updated in this fast-evolving field.
