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.

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.

Main responsibilities:

The team member shall perform the tasks inherent to such position, including, but not limited to, the following:

- Partner with business teams to identify and scope high‐impact transformation opportunities through AI and automation . 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. Evaluate existing processes and assumptions, identify bottlenecks , and propose new workflows and tooling that enable scalability and efficiency .



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 . Develop automation and AI-based systems such as intelligent routing or workflow orchestration , integrated with internal platforms via APIs and webhooks .
- Establish quality, performance, and safety monitoring for all solutions. Work closely with Security, Legal, and Privacy to ensure compliant data use and vendor management . Create documentation, runbooks, and handovers to ensure sustainable operations.
- 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 .
- Act as a driver for continuous improvement by advancing operational efficiency through innovation , simplification , and collaborative problem-solving .

Main requirements:

- 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.




- 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.
- Familiarity with integrating APIs and webhooks to automate cross-system workflows.
- 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.
- A proactive and self-driven mindset, with a passion for solving complex problems through simple, scalable solutions, understanding cost vs. performance tradeoffs.

At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. 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.

What do we offer?

- Competitive, annually reviewed compensation package
- Country vacation package that increases with your tenure
- Country specific benefits offering incl. private health care, fitness and meal allowances
- Annual personal development budget to increase your impact
- Hybrid working mode, plus up to 3 mo

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