Staff Data Engineer

Description

#### **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 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.