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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