🕒 2 days ago
Lead client data engineering engagements by designing AI-ready data platforms, production pipelines, and semantic layers that enable analytics, natural-language querying, and AI-powered workflows.
Senior Data Engineer (remote)
📅 Jul 24
PythonSQLPostgreSQLDbt
📜 Description
- Design scalable, reliable, and maintainable data solutions.
- Establish best practices around data architecture, modeling, and engineering standards.
- Lead complex technical initiatives and make strategic architectural decisions.
- Mentor and support Data Engineers, fostering technical growth.
🛠️ Requirements
- Proficiency in Python for building robust ETL/ELT pipelines.
- Advanced SQL skills with PostgreSQL for complex query design and performance tuning.
- Strong experience with dbt for data modeling and testing.
- Hands-on experience with Dagster or similar orchestration tools.
- Solid knowledge of containerization and orchestration using Docker and Kubernetes.
✨ 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
- Define and drive the technical vision for the data platform and architecture.
Full job 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.
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