Founded in ****, 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 global network of more than 250 auditors and quality experts.
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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.
Role Overview:As an Operations Engineer, you will lead efforts to scale our organization through process automation and AI integration. Your mission is to identify operational bottlenecks, design intelligent workflows, and deliver data-driven automated solutions that enhance productivity, decision-making, and operational quality across the company.
This role bridges the gap between business processes, data engineering, and technology, working within the Finance department in close partnership with our Business Intelligence (BI) and Data Engineering teams.
Partner with business teams to identify and scope high?Define the business problem, success metrics, feasibility, risks, and ROI.
Map, document, and analyze current processes, systems, and data flows across the existing tool landscape. Work with the data and BI teams on new and updated data models to enable workflows.
Design and deliver new solutions end-to-end, from proof of concept to production. Establish quality, performance, and safety monitoring for all solutions. Work closely with Security, Legal, and Privacy to ensure compliant data use and vendor management.



Collaborate with the data engineering and BI team to design ingestion and transformation pipelines using dbt and LLM-powered workflows in Python, to support automation, analytics, and decision-making at scale.
Deep understanding of business processes, with a strong process-mapping and optimization mindset, focused on measurable efficiency gains and anticipation of edge cases and failure modes.
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.
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.
Excellent collaboration, stakeholder communication, and ownership across technical and business teams, and participates in code/design reviews.performance tradeoffs.
For this role, we're happy to share a reference point within the band: the expected salary range is around €65,000
- €70,000, centered around the median.
Final compensation will depend on experience and performance during the process, with some flexibility within the range.private health care, fitness and meal allowancesAnnual personal development budget to increase your impactHybrid working mode, plus up to 3 months of the year work from anywhere.
All applications are reviewed manually by our Talent Acquisition team, and neither Talent Acquisition nor Hiring Managers use AI to screen, filter, rank, assess, or make decisions about candidates, including during interviews and assessments.

📌 Senior Business Operations Engineer (España)
🏢 Qualifyze
📍 España