Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a integral network of more than 250 auditors and quality experts. With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.

As a Business Operations Engineer , you sit at the intersection of business, data, and technology , and you use that viewpoint to scale how the organization works .

Your mission is to understand our business and its processes deeply, identify where they can be made faster, simpler, and more reliable, and deliver data-driven, automated, AI-powered solutions that raise productivity, sharpen decision-making, and drive operational excellence across the company. You combine a genuine understanding of how the business runs with strong engineering skills, including data engineering , programming , and enough DevOps fluency to prepare your solutions for clean, standardized handover to production. This role is integrated in the BI team, which sits within the Finance department.

Partner with business teams to develop a deep understanding of their processes and to identify and scope high-impact transformation opportunities through AI and automation. Map, document, and analyze the current processes, systems, and data flows across the existing tool landscape. Design and deliver new solutions end-to-end, from proof of concept to production.

Develop automation and AI-based systems such as intelligent routing, workflow orchestration, and AI agents running in production , integrated with internal platforms via APIs and webhooks .



Prepare and package solutions according to the standards of the DevOps team so they can be deployed and operated in a plug-and-play manner. This does not mean acting as a DevOps engineer, but having a solid conceptual understanding of containerization (Docker), orchestration (Kubernetes), and modern deployment practices, so that what you build fits seamlessly into our operational standards.

Establish quality, performance, and safety monitoring for all solutions, including the LLM-powered agents running in production. Design ingestion and transformation pipelines using dbt, to support automation, analytics, and decision-making at scale. Act as a catalyst for continuous improvement by challenging the status quo and driving operational excellence through innovation and simplification.

Strong programming skills in Python and/or Java, with strong SQL , for automation, data transformation, and system integration. Proven experience building and maintaining ETL/ELT pipelines using dbt or similar frameworks. Hands‐on experience executing automations.

Practical experience with LLMs and AI agents , including building and running agentic workflows in production , and a habit of actively keeping up to date with the fast‐evolving developments in the field. Solid conceptual DevOps knowledge , including containerization (Docker), orchestration (Kubernetes), and deployment practices, sufficient to prepare solutions to the standards of a DevOps team for smooth, standardized deployment.

Experience working with cloud platforms such as AWS, GCP, or Azure . performance tradeoffs. For this role, we're happy to share a reference point within the band: the expected salary range is around €55,000 - €70,000, centred around the median. Final compensation will depend on experience and performance during the process, with some flexibility within the range. Annual personal development budget to increase your impact Hybrid working mode, plus up to 3 months of the year work from anywhere.

📌 Senior Analytics & Automation Engineer (Cataluña)
🏢 Qualifyzegmbh
📍 Cataluña