ppFounded 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. /p pWith 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. /p h3Role Overview: /h3 pWe are looking for a bStaff Data Engineer /b to join our growing bProduct Tech team /b. In this role, you will help shape the evolution of our bdata platform /b and influence bengineering decisions /b across multiple cross-functional teams. /p pYour main goal will be to partner with us in designing and scaling our bdata platform /b, strengthening both our boperational databases /b and banalytical platform /b, and bringing quality bsoftware engineering practices /b to all our bdata products /b and bpipelines /b. /p pYou’ll collaborate closely with the bproduct team /b and bbackend engineers /b, and serve as a trusted partner to bbusiness stakeholders /b who depend on accurate, timely data to drive product decisions and company strategy. /p pThis role is adecuado for someone with strong skills in bPython /b and bSQL /b, solid bsoftware engineering fundamentals /b, a background in bdata-intensive product or platform teams /b where they contributed to production bdata architectures /b and bpipelines /b end to end, and the ability to succeed in a dynamic, boutcome-focused environment /b owning the full data cycle from boperational to analytical systems /b. /p h3Main responsibilities: /h3 ul liDefine and drive the btechnical vision /b for our bdata platform /b and barchitecture /b. /li liDesign bscalable, reliable, and maintainable /b bdata solutions /b that support business growth. /li liEstablish and cultivate bbest practices /b around bdata architecture, modeling, quality, /b and bengineering standards /b.



/li liLead complex btechnical initiatives /b and make strategic barchitectural decisions /b across multiple teams. /li liPartner with bProduct, Engineering, /b and bbusiness stakeholders /b to translate business needs into bscalable data solutions /b. /li liMentor and support bData Engineers /b, fostering btechnical growth /b and bknowledge sharing /b across the team. /li liDrive continuous improvements that increase the bscalability, reliability, and efficiency /b of our bdata platform /b. /li /ul h3Main requirements: /h3 ul libProficiency in Python for data engineering: /b Building brobust ETL/ELT pipelines /b, bmodular libraries /b, and btooling /b with strong testing and observability. /li libAdvanced SQL skills with PostgreSQL: /b bComplex query design /b, bperformance tuning /b, bindexing strategies /b, and a deep understanding of bexecution plans /b for both bOLTP and OLAP workloads /b. /li libStrong experience with dbt: /b bData modeling /b, btesting /b, and bdocumenting analytical datasets /b, managing environments, and structuring projects for bscalability /b. /li libHands-on experience with Dagster (or similar orchestration tools): /b Designing bassets/jobs /b, bdependency graphs /b, bscheduling /b, bmonitoring /b, and bincident handling /b for data workflows. /li libSolid knowledge of containerization and orchestration: /b bDocker /b and bKubernetes /b for deploying bdata services /b, bbatch jobs /b, and bmicroservices /b in production. /li libStrong grasp of data modeling: /b bDimensional modeling /b plus a clear understanding of trade-offs for boperational vs analytical schemas /b. /li /ul pAt 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 b75.000€ – 85.000 € /b, centered around the median. /p pFinal compensation will depend on experience and performance during the process, with some flexibility within the range. /p h3What do we offer? /h3 ul liCompetitive, annually reviewed compensation package /li liCountry vacation package that increases with your tenure /li liCountry specific benefits offering incl. private health care, fitness and meal allowances /li liAnnual personal development budget to increase your impact /liliHybrid working mode, plus up to 3 months of the year work from anywhere. /li liAll the best kit and tools to work effectively /li liAnnual in person all company event and celebration in Europe /li liWorking with an exceptional team, doing some of the best work of your career /li /ul h3Use of AI in Our Recruitment Process: /h3 pWe 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. /p pAll hiring decisions are made by people! /p h3Diversity Inclusion at Qualifyze: /h3 pAt 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. /p pWe 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. /p /p #J-18808-Ljbffr

📌 Staff Data Engineer (Barcelona)
🏢 Qualifyze
📍 Barcelona