AI Data Engineer

Are you a seasoned & ambitious Data Engineer? Eager to join the AI revolution? We would love to hear from you. 🚀Join LEGALFLY!LEGALFLY is a pioneering legal AI platform offering unmatched security and productivity that is transforming the legal industry: 🏆 Exceptional product-market fit: Our advanced and intuitive legal AI solutions have rapidly gained traction in the market. LEGALFLY is trusted by leading European enterprises and law firms, and we have strategic partnerships with industry leaders like Slaughter & May and Allianz.🚀 Hyper-growth: Following our successful Series A funding round of 15 million EUR in July 2024, LegalFly is experiencing rapid growth. Backed by top investors, including Mehdi Ghissassi, Director of Product at Google Deepmind, we plan to triple our team by the end of the year to accelerate product development and revenue growth.🥇 World-class team: LEGALFLY was founded by four tech veterans from Tinder, bringing extensive knowledge and expertise to drive innovation. 🔒 Unmatched security: We are setting the global standard for responsible legal AI with unrivaled security measures. LEGALFLY ensures that sensitive client data never leaves the company's premises through on-premise anonymization. 🌎 Global expansion: Our recent funding will support our expansion across the globe. We are extending our platform to key jurisdictions, including the United States, United Kingdom, France, Netherlands and Belgium, driving the digital transformation of legal services globally.Join us at LEGALFLY as our Data Engineer and be a part of our mission to revolutionise the legal industry with cutting-edge AI technology.What you'll doWe are seeking a seasoned Data Engineer to join our Ghent team full-time. In this critical role, you will:Design, build and deploy AI-powered solutions that improve the most secure and innovative Legal AI workspace on the closely with Product and Backend teams to design, build and maintain scalable data pipelines and infrastructure.Design and manage a central data lake to consolidate data from various sources, enabling data enrichment, advanced analytics and reporting.Evaluate and integrate new technologies, tools and approaches to optimise data processes and architecturesContinuously monitor, troubleshoot and improve data pipelines and infrastructure for performance, scalability and cost-efficiencyPresent technical findings and project outcomes to a variety of stakeholders, adapting communication to both technical and non-technical audiences.You might be a good fit if you have:Practical experience in data engineering (ETL development, data warehousing, data lake management, etc.)Comfortable working with cloud-based data stack tools.Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT or similar).Strong communication skills, with an ability to effectively engage with diverse teams across business an...