דרושים One DatAI

Company Description
ONE datAI, a division of One Technologies, is a leader in delivering comprehensive data and AI solutions. Since 2006, the company has specialized in strategic consulting, data infrastructure, automation, AI/ML solutions, analytics, and software implementation. With a team of over 200 experts, ONE datAI transforms complex data challenges into strategic opportunities, empowering enterprises across multiple industries such as finance, healthcare, transportation, retail, and public sectors. Headquartered in Israel, the company is recognized for its commitment to innovation and excellence, serving hundreds of leading organizations globally.

We are looking for an experienced Senior data Architect GCP for a leading financial organization.
This is a senior architecture role for someone who knows how to design end-to-end enterprise data architecture - not just develop d

leading company is looking for a Mid-Senior BI Developer to join a strong and dynamic BI team.

The team is responsible for delivering end-to-end BI solutions across the organization, transforming data into actionable insights and enabling data -driven decision-making at scale.

This role involves working with a wide range of technologies in both Cloud and On-Prem environments, supporting thousands of users.



?? Responsibilities



* Lead end-to-end BI projects - from business requirements gathering, through design and ETL / data preparation, to dashboard development, testing, and deployment

* Work in a hybrid environment combining Cloud and On-Prem tools and services

* Develop using tools such as Power BI, DAX, Power Apps, and Semantic Layers

* Collaborate closely with business stakeholders to translate requirements into data models, reports, dashboards, and KPIs

Key Responsibilities
Lead the organization's AI and innovation initiatives.
Identify, evaluate, and define high-value business use cases for AI adoption.
Design, develop, and deploy intelligent Agents, Assistants, and Generative AI solutions.
Build business process automations using AI, Cloud Code, and Low-Code platforms.
Work with Microsoft Copilot, Copilot Studio, and Azure-based AI services.
Integrate enterprise data sources, ERP systems, SAP, Power BI, and knowledge repositories to create intelligent workflows and decision-support solutions.
Develop and implement RAG (Retrieval-Augmented Generation), Knowledge Management, and Agentic AI solutions.
Collaborate closely with data Science, BI, IT, and business teams.
Lead Proofs of Concept (POCs), evaluate emerging technologies, and recommend architectures and AI platforms.

We are looking for an experienced data Engineer to join us and work on scalable data pipelines, modern lakehouse architectures, and cutting-edge data technologies.

What youll do:
Build, develop, and own end-to-end data pipelines, from ingestion to serving.
Ingest data from multiple sources, including APIs, files, databases, and enterprise systems.
Develop and optimize data pipelines using Spark, Python, and SQL.
Design and implement scalable lakehouse solutions on Databricks.
Work with batch, streaming, and incremental data pipelines.
Optimize pipeline performance, cost, reliability, and scalability.
Implement data quality, monitoring, and governance best practices.
Work closely with business and technical stakeholders to define and deliver data solutions.
For senior candidates: lead large-scale data projects and mentor data Engineers across projects.