Вакансии: Data Engineering — Israel

Own the design and implementation of the company’s data infrastructure and analytics ecosystem. This first dedicated data role reports to the CTO and is based in a hybrid Tel Aviv R&D center, with two remote workdays per week.

Develop and implement data solutions in complex enterprise environments, including ETL/ELT pipelines, integrations, and data warehouse processes.

Own the lifecycle of business requirements and data solutions, from analysis and design through development, deployment, and production monitoring. Work across on-premises and cloud environments, relational and NoSQL databases, and batch and real-time processes.

Build and operate a cloud data platform and production-grade data pipelines for a fintech company providing cross-currency solutions to software platforms and marketplaces.

Develop end-to-end cloud data solutions, pipelines, and data products, working with business stakeholders and BI, AI, and analytics teams from requirements through production.

An experienced data engineer is sought to build and maintain data processing, integration, and access solutions in complex enterprise environments. The role covers on-premises and cloud systems, relational and non-relational databases, and batch and real-time processing.

Build and operate data infrastructure, reporting tools, and internal applications that support business operations and decision-making. Work with business stakeholders, the executive team, and development teams to deliver solutions from concept through production.

Build and maintain data pipelines and ETL processes supporting training and analytics. This is a volunteer opportunity and is currently unpaid; future compensation is not guaranteed.

Join an autonomous data-platform company as a hands-on data engineering partner for enterprise customers. Lead discovery, implementation, proofs of concept, and adoption while translating customer needs into scalable product capabilities and roadmap input.

A financial organization is seeking a mid-level Data Engineer to build reliable data solutions across complex on-premises and cloud environments. The role covers requirements analysis, development, optimization, and ownership through production.