Data Engineer jobs in Israel

Description Commit Data is looking for a highly skilled Data Engineer to join our growing Data Analytics Department. As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure. Job Responsibilities: • Lead data solutions design and development for our various clients and projects. • Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards. • Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies. Requirements • Requirements: • 5+ years of relevant experience as Data Engineer – a must. • Experience with Python based data pipelines/ETLs and other ETL\ELT tools (such as Glue, Rivery, Data Factory, DBT). • High Proficiency in SQL – a must. • Experience designing and developing DWHs in the cloud – Redshift\Snowflake\BigQuery is a must. • Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker. • Knowledge and experience with AI\ML (working with tools like SageMaker\ Bedrock\ Q\ BigQuery ML\ Vertex AI\ Gemini) - big advantage. • Strong analytical and problem-solving skills with attention to details. • High self-learning skills • Fluent English

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