Senior Operations Engineer
QualifyzeAbout the role
About Qualifyze,
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.
Requirements
Role Overview,
We are looking for an Operations Engineer (AI & Automation) to join our Business Operations 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
🚀Annual personal development budget to increase your impact
🌎Hybrid working mode, plus up to 3 months of the year work from anywhere.
💻All the best kit and tools to work
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