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 adecuado 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 architecture, modeling, quality,

and

engineering standards .

Lead complex

technical initiatives

and make strategic

architectural decisions

across multiple teams.

Partner with

Product, Engineering,

and

business stakeholders

to translate business needs into

scalable data solutions .

Mentor and support

Data Engineers , fostering

technical growth

and

knowledge sharing

across the team.

Drive continuous improvements that increase the

scalability, reliability, and efficiency

of our

data platform .

Main requirements:

Proficiency in Python for data engineering:

Building

robust ETL/ELT pipelines ,





modular libraries , and

tooling

with strong testing and observability.

Advanced SQL skills with PostgreSQL:

Complex query design ,

performance tuning ,

indexing strategies , and a deep understanding of

execution plans

for both

OLTP and OLAP workloads .

Strong experience with dbt:

Data modeling ,

testing , and

documenting analytical datasets , managing environments, and structuring projects for

scalability .

Hands‑on experience with Dagster (or similar orchestration tools):

Designing

assets/jobs ,

dependency graphs ,

scheduling , and

incident handling

for data workflows.

Solid knowledge of containerization and orchestration:

Docker

and

Kubernetes

for deploying

data services ,

batch jobs , and

microservices

in production.

Strong grasp of data modeling:

Dimensional modeling

plus a clear understanding of trade‑offs for

operational vs analytical schemas .

Salary

At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around

75.000€ – 85.000 € , centered around the median.

Final compensation will depend on experience and performance during the process, with some flexibility within the range.

What do we offer?

Competitive, annually reviewed compensation package

Country vacation package

📌 Staff Data Engineer (Madrid)
🏢 Qualifyze
📍 Madrid