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 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: We are looking for a

Senior Data Engineer

to join our growing

Product & Tech team . In this role, you will help build and evolve our

data platform ,

owning key pipelines

and

data products

from end to end and contributing to the

engineering decisions

that shape them.

Your main goal will be to

design, build, and maintain reliable data pipelines

across our

operational databases

and

analytical platform , applying

quality software engineering practices

to everything you ship. You will collaborate closely with the

product team

and

backend engineers , and work directly with

business stakeholders

who depend on

accurate, timely data

to drive

product decisions .

This role is well suited for someone with

strong skills in Python and SQL ,

solid software engineering fundamentals , hands‑on experience building

production data pipelines

in a

product or platform team ,



and a passion for managing work across the

full data cycle , from

operational to analytical systems .

Main responsibilities:

Design, build, and maintain

scalable, reliable, and well-tested

data pipelines

and

data products .

Manage features and pipelines end-to-end : from

schema design

in

operational databases

through

ingestion ,

transformation , and

delivery of analytical datasets .

Contribute to the

architecture

of our

data platform

and help evaluate

technical trade-offs

with the team.

Apply and help improve standards for

data modeling ,

data quality ,

testing , and

code review .

Work with

Product ,

Engineering , and

business stakeholders

to turn requirements into

well-scoped data solutions .

Monitor, troubleshoot, and resolve

pipeline incidents , and improve

observability

and

reliability

over time.

Share knowledge

with the team and

mentor fellow engineers

through

pairing

and

code reviews .

Main requirements:

Proficiency in

Python

for data engineering: building

robust ETL/ELT pipelines

and

reusable modules , with

strong testing

(e.g., pytest) and





good observability .

Strong SQL skills with PostgreSQL : complex query design, performance tuning, indexing, and reading execution plans for both OLTP and OLAP workloads.

Hands‑on experience with dbt : building, testing, and documenting models, ideally in a layered (e.g., medallion) project structure.

Experience with

Dagster

(or similar orchestrators such as Airflow): building assets/jobs, scheduling, monitoring, and handling failures in production workflows.

Working knowledge of Docker and Kubernetes : packaging and running data services and batch jobs in production.

Solid grasp of data modeling : dimensional modeling and an understanding of the trade‑offs between operational and analytical schemas.

Nice to have:

Experience with

AWS

(S3, EKS, Secrets Manager).

Experience with

database schema migration tools

(such as Liquibase) or

data contracts .

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

60.000€ – 70.000 € , 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 that increases with your tenure

Country specific benefits offering incl. private

📌 Senior Data Engineer (Madrid)
🏢 Qualifyze
📍 Madrid