AI Data Engineer

Rhian_Convatec; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A global medical products company is seeking an AI Data Engineer to support the design and deployment of AI workflows. This hands-on position requires building data pipelines and integrating AI services, with a focus on data readiness for analytics. Candidates should have 3-6 years of experience in data engineering, with strong programming skills in Python and SQL. The role offers a hybrid working model and opportunities for continuous learning in a collaborative environment.

Qualifications

• 3–6 years’ experience in data engineering, applied AI, or related technical roles.
• Strong programming skills in Python and SQL for data manipulation and API interaction.
• Understanding of Lakehouse and Medallion architectures.

Responsibilities

• Design, build, and maintain data pipelines using Azure Data Factory and Synapse.
• Prepare and transform data for AI model training and inference workflows.
• Collaborate with AI Engineers for seamless data flow between systems.

Skills

Data engineering

Applied AI

Python

SQL

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Azure DevOps

Education

Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field

Relevant certifications in Azure Data Engineering or AI/ML

Tools

Azure Machine Learning

Cognitive Services

Power BI

Docker

Job description

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). To learn more please visit http://www.convatecgroup.com

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*

*additional languages as required or nice to have

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.

Beware of scams online or from individuals claiming to represent Convatec

A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address.

If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If you’re unsure, please contact us at [e-mail].

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.

Notice to Agency and Search Firm Representatives

Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

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