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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 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. 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. #ForeverCaring 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 . 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. Already a Convatec employee? If you are an active employee at Convatec, please do not apply here. Go to the Career Worklet on your Workday home page and View "Convatec Internal Career Site - Find Jobs". Thank you!

Quality Engineer We're looking for a Quality Engineer. Based at our Capenhurst/Birchwood site you will play a key part in supporting, controlling, and inspecting technical processes to ensure a high standard of quality throughout the organisation. Rate: £60-65 Umbrella (Inside IR35) At Urenco we're committed to giving you opportunities to be your best. If you feel you meet some, but not all of what we're looking for, please still apply. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training and development experiences. Along with the opportunity to be mentored and coached by some of the smartest minds in the industry. As a Quality Engineer, your responsibilities will include: • Quality Control Plans (QCPs): Establish, apply, and maintain comprehensive quality control plans, ensuring they are implemented efficiently and accurately. • Data Analysis: Analyse medium to complex system data to inform decisions and drive precise execution throughout the organisation. • Project Involvement: Participate in the design and implementation phases of projects, ensuring that quality is embedded at every stage. • Continuous Improvement: Lead and drive continuous improvement initiatives, using quality data to resolve issues and improve processes. • Lessons Learned: Capture, document, and apply lessons learned from quality-related incidents to avoid recurrence and enhance future performance. • Regulatory Compliance: Stay informed of the latest regulatory requirements and coach internal teams on their application and proper usage. • Audits and Assessments: Conduct and support internal and external audits, evaluations, and assessments to ensure compliance with ISO, ASTM, DIN, BSI, and other relevant standards. • Supplier Quality Management: Perform supplier inspections to ensure that their quality standards align with Urenco's requirements and project expectations. What do you need to thrive in this role? • Technical Background: A solid foundation in engineering (electrical), with a clear understanding of technical business processes. • Standards Expertise: In-depth knowledge of international quality standards, including ISO, ASTM, DIN, and BSI. • Quality Control Experience: Proven experience in establishing and maintaining quality control processes, including the development of integrated QCPs. • Certification & Auditing: Experience with certification processes in technical industries and the ability to conduct quality audits and supplier inspections. • Data Analysis Skills: Ability to analyse complex data sets and use them to make informed decisions. • Problem-Solving: Strong skills in root cause analysis and problem-solving, with a track record of driving improvements based on quality issues. • Regulatory Knowledge: Up-to-date knowledge of relevant quality and regulatory requirements, with the ability to ensure compliance across all project phases. • Project Involvement: Experience in supporting and influencing quality throughout the project lifecycle, from design to delivery. • Communication: Excellent verbal and written communication skills, with the ability to present complex information clearly to internal teams and external partners. Desirable Skills • Risk Management: Familiarity with risk-based approaches to quality, such as FMEA (Failure Mode and Effects Analysis) and RCA (Root Cause Analysis). • Supplier Relationship Management: Experience managing and improving supplier quality standards, building strong relationships to drive performance. • Continuous Improvement Tools: Knowledge of Lean, Six Sigma, or other process improvement methodologies. • Language Skills: Proficiency in German is a bonus, alongside fluent English. • Flexibility: Willingness to travel as part of the role, including international travel. Quality Engineer TPBN1_UKTJ

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