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 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‑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. 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. Annual personal development budget to increase your impact Hybrid 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 (Barcelona)
🏢 Qualifyze
📍 Barcelona