AI Data Engineer

Convatec
London
1 month ago
Applications closed

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Lead Data Engineer

Data Scientist

AI Data Engineer – Convatec

Location: Paddington, England, United Kingdom


About Convatec

Convatec is a global medical products and technologies company focused on solutions for the management of chronic conditions. With more than 10,000 colleagues, we provide products and services in around 90 countries, united by a promise to be forever caring. Convatec’s revenue in 2024 was over $2 billion and the company is a constituent of the FTSE 100 Index (LSE:CTEC). Convatec aims to improve patient outcomes while reducing 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. The role works 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.


Key Responsibilities

  • 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 operationalise AI solutions.
    • Develop and test data interfaces and lightweight micro‑services connecting AI models to business processes.
    • Support deployment, monitoring and performance optimisation 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 re‑usability.


  • 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, containerisation (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 – one day per week in the office driven by business requirements. Convatec has a flexible approach to office working.


Equal Opportunities Statement

Convatec provides equal employment opportunities for all current employees and applicants for employment. No discrimination based on race, religion, creed, colour, national origin, citizenship, ancestry, sex, age, marital status, physical or mental disability, sexual orientation, gender identity, military or veteran status, genetic characteristics or any other basis prohibited by law.


Official Recruitment Process & Scam Notice

A formal recruitment process is required for all opportunities prior to any offer of employment. This includes an interview confirmed by an official Convatec email address. If you receive a suspicious approach via social media, text, email or phone call about Convatec recruitment, do not disclose personal information or pay any fees. Contact us at if unsure.


Notice to Agency & Search Firm Representatives

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


Seniority Level

Mid‑Senior level


Employment Type

Full‑time


Job Function

Information Technology – Medical Equipment Manufacturing


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