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 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 ideal 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 , monitoring , 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 that increases with your tenure

Country specific benefits offering incl. private health care, fitness and meal allowances

Annual personal development budget to increase your impact

Hybrid working mode, plus up to 3 months of the year work from anywhere.

All the best kit and tools to work effectively

Annual in person all company event and celebration in Europe

Working with an exceptional team, doing some of the best work of your career

Use of AI in Our Recruitment Process:

We believe in a human‑led hiring process. 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. During interviews, AI may be used only to support note‑taking and transcription.

All hiring decisions are made by people!

Diversity & Inclusion at Qualifyze:

At Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us to find innovative solutions and turn difficulties into opportunities. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard.

We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered.

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📌 Staff Data Engineer (remote) (Barcelona)
🏢 Qualifyze
📍 Barcelona