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 general 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.

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