- מיקום
- תל אביב - יפו, מרכז
- היקף משרה
- משרה מלאה
- עבודה מהבית
- היברידי
- תפקיד
- מהנדס/ת נתונים
תיאור המשרה
Company Description
We're looking for a Tech Lead who is more than a great data engineer - someone who brings equal depth in backend software engineering and broad fluency across data technologies, databases, and large-scale distributed systems. You'll own the architecture and hands-on development of our data platform while driving engineering excellence across the team.
Job Description
- Architect and evolve our Data Warehouse, Data Lake, and ETL/ELT pipelines across multiple products and business domains
- Design and build enterprise-grade backend services and APIs that expose data platform capabilities at scale
- Own technical decisions on scalability, reliability, observability, and data quality
- Lead cross-functional initiatives with R&D, product, analysts, and business stakeholders
- Mentor data engineers and developers through design reviews, technical leadership, and engineering best practices
- Drive adoption of modern data technologies, AI-first practices, and automation
Qualifications
- 6+ years in Data Engineering, including production-scale platform design and operation using Spark
- 2+ years as a Tech Lead or senior engineer leading technical initiatives
- Hands-on backend development experience - REST/gRPC APIs, microservices, service design patterns - at enterprise scale
- Broad database fluency: relational, analytical, NoSQL, columnar, and streaming stores
- Advanced SQL and strong Python; proven experience building and optimizing large-scale ETL/ELT pipelines
- Experience with cloud-based data platforms and AI-driven data workflows
- Practical proficiency with AI agents and tools - building, integrating, or orchestrating LLM-powered workflows in production environments
- Strong communication skills with technical and non-technical stakeholders
- Self-directed and forward-thinking - you bring a clear point of view, drive initiatives without being told, and see around corners on where the platform needs to go next
Nice to have
- Azure data services, Databricks or EventHub
- Streaming and real-time data processing architectures
- Background in cyber security, SaaS, or large-scale enterprise environments
- Data governance, observability, or self-service platform experience
#LI-NK2
