Operations Engineer

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 global 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 We are looking for an Operations Engineer (AI & Automation) to join our Operations Excellence team. You will sit at the intersection of business, data, and technology—identifying inefficiencies, designing intelligent workflows, and delivering automated, data-driven solutions that scale our operations and improve productivity and decision-making across the company. You’ll pair a strategic understanding of end-to-end processes with hands‑on execution (APIs/webhooks, orchestration, LLM‑assisted services), owning the full lifecycle from discovery and proof‑of‑concept to production roll‑out, monitoring, and continuous improvement. Success looks like measurable cycle‑time reductions, error‑rate decreases, and cost savings on priority workflows, with robust guardrails (quality, security, privacy), clear runbooks/SLAs, and strong stakeholder adoption. Main responsibilities Partner with business teams to identify and scope high‑impact transformation opportunities through AI and automation; define problem, success metrics, feasibility, risks, and ROI. Map, document, and analyze current processes, systems, and data flows across the tool landscape; challenge assumptions, surface bottlenecks, and propose scalable, efficient workflows and tooling; collaborate with Data/BI on new or updated data models. Design and deliver solutions end‑to‑end—from proof of concept to production—including intelligent routing, workflow orchestration, and other AI‑powered automations integrated via APIs and webhooks. Establish quality, performance, and safety monitoring; partner with Security, Legal, and Privacy to ensure compliant data use and vendor management; produce documentation, runbooks, and handovers for sustainable operations. Collaborate with Data Engineering and BI 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 catalyst for continuous improvement by challenging the status quo and driving operational excellence through innovation and simplification. Main requirements Strong Python and SQL skills for automation, data transformation, and system integration. Proven experience building and maintaining ETL/ELT pipelines using dbt or similar frameworks. Hands‑on experience with workflow automation tools (Make , Airflow , n8n , Zapier ). Familiarity with integrating APIs and webhooks to automate cross‑system workflows. Experience with cloud platforms (AWS/GCP/Azure ). Strong process‑mapping and optimization mindset with focus on measurable efficiency gains and anticipation of edge cases/failure modes. Excellent collaboration, stakeholder communication, and ownership across technical and business teams; participates in code/design reviews. Proactive, self‑driven, and pragmatic; able to balance build vs. buy and cost vs. performance trade‑offs. Demonstrated leadership potential; able to resolve conflicts diplomatically in a fast‑paced, evolving environment. 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