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.

Role Overview:
We are looking for a

Staff Data Engineer

to join our growing

Product & Tech team . In this role, you will help shape the evolution of our

data platform

and influence

engineering decisions

across multiple cross-functional teams.

Your main goal will be to partner with us in designing and scaling our

data platform , strengthening both our

operational databases

and

analytical platform , and bringing quality

software engineering practices

to all our

data products

and





pipelines .

You’ll collaborate closely with the

product team

and

backend engineers , and serve as a trusted partner to

business stakeholders

who depend on accurate, timely data to drive product decisions and company strategy.

This role is idóneo for someone with strong skills in

Python

and

SQL , solid

software engineering fundamentals , a background in

data-intensive product or platform teams

where they contributed to production

data architectures

and

pipelines

end to end, and the ability to succeed in a dynamic,

outcome-focused environment

owning the full data cycle from

operational to analytical systems .

Main responsibilities:

Define and drive the

technical vision

for our

data platform

and

architecture .

Design

scalable, reliable, and maintainable

data solutions

that support business growth.

Establish and cultivate

best practices

around

data a

📌 Staff Data Engineer (Madrid)
🏢 Qualifyze
📍 Madrid