At Q-tech, we are seeking Senior Data Engineers for an insurance sector company that delivers excellent customer experiences at competitive prices using cutting-edge technologies.
The IT technology team plays a central role, with Engineering and Product departments filled with passionate and innovative professionals committed to continuous learning and employing the latest technologies.
Mission
Since 2015, they've pursued a mission to provide valuable and inclusive car insurance, cultivating a collaborative culture to fuel collective success.
About Us
They provide an inclusive, growth-focused work environment that values autonomy, well-being, and collaboration. Those ready for this challenge can drive innovation forward.
Job Responsibilities
* Data Product Architecture: Design data product architecture focused on analytics and data science, particularly forecasting and feature engineering.
* Data Governance: Set best practices in areas like data modeling and governance, ensuring data availability and consistency.
* Reusable Technology: Build reusable technology for data pipelines.
* Collaboration: Collaborate with data scientists and machine learning engineers to define data requirements.
* Emerging Technologies: Stay current on emerging technologies, engaging in community-driven learning.
Professional Requirements
* Batch and Real-Time Data Processing: Expertise in batch and real-time data processing (Kafka, Flink, Spark).
* Cloud-Based Data Lake: Experience with cloud-based data lake and big data analytics (preferably AWS).
* Programming Skills: Proficiency in Python, RDBMS, SQL, and DevOps best practices.
* Data Governance and MLOps: Knowledge in Data Governance and MLOps is a plus.
* Language: Advanced level in English.
Offer Conditions
* Remote Work: Remote work.
* Flexible Work Policy: Flexible work policy, work-from-abroad options (30 days/year).
* Benefit Package: Competitive benefit package, including €1540/year for nursery, transport, and meals.
* Monthly Compensation: Monthly remote work compensation (€50).