דרושים » דאטה » Data Engineer

Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented, with deep involvement in data exploration, algorithm analysis, and close collaboration with data scientists, engineers, and product partners.

A partial list of our tech stack includes: SQL, Python, Looker, BigQuery, AWS services, Airflow, and more.

What you'll do:
Analyze large, complex datasets to identify fraud patterns and emerging threats.
Design and write high-performance SQL queries for large-scale data analysis.
Use Python for data analysis, exploration, validation, and workflow automation.
Support the development, evaluation, and monitoring of fraud-detection models.
Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
Collaborate with data scientists, engineers, and product managers on R&D initiatives.
Translate business and product questions into data-driven insights and recommendations.

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 30 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As a Sales data Analyst at our company, you will support our sales team by compiling and analyzing sales data, providing valuable feedback and actionable insights to guide sales activities. You will champion data collection and present reports and conclusions to the management team. This role requires a strong understanding of our products and business processes, technical abilities, and a high level of accuracy. It offers a unique opportunity to gain hands-on experience in sales analysis and contribute to the success of our company. Key Responsibilities
* Compile, analyze, and report sales data.
* Drive data collection and data cleansing activities, ensuring data integrity and accuracy.
* Monitor and analyze sales performance, customers behavior, determine sales potential, and issue recommendations.
* Provide actionable insights to the sales team and stakeholders.
* Prepare and present reports on data trends and sales performance.
* Develop and maintain BI dashboards and databases to visualize sales data and trends.
* Lead IS automation solutions for managing sales data.
* Collaborate with other departments to understand data needs.
* Provide administrative support to the sales team as needed.
Country:
Israel
City:
Herzliya

Were looking for a senior‑level Data Platform Solutions Engineer who is both data‑savvy and customer‑focused. In this role youll help our customers run large‑scale data and AI workloads, tackling technical challenges across modern data environments. Youll blend deep troubleshooting expertise with tool‑building and solution design, while partnering closely with our teams and customers to ensure successful deployment and operation of our data‑platform offerings-both on‑premises and SaaS.
You will:
Assist customers with complex data‑lake and AI workloads on our data platform.
Diagnose and remediate high‑severity, multi‑layer issues spanning infrastructure, Kubernetes, data engines, storage, and networking.
Create and refine tools, automation, and solutions that boost environment stability and operational efficiency.
Deliver architectural guidance and configuration best practices to enhance performance, scalability, and resiliency.
Serve as the technical liaison among Customer Support, Product Management, and R&D, turning customer insights into product enhancements.
Take the first step towards your dream career
Job ID:R285903.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our reference and alternative data team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data and backend engineers.
Be responsible for ingesting financial data and providing it over numerous APIs in close collaboration with algorithmic teams and other partners.
Lead the architecture, planning, design and development of missin-critical and diverse data pipelines over both public and on-prem cloud solutions.

Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
Leverage Databricks and other modern data platforms to manage, transform, and process data
Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
Optimize data processing workflows for performance and scalability.

For over two decades, our company has mastered the art of real-time data. Weve built platforms that power the worlds most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
This position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

We are looking for an AI & Cloud FinOps Specialist to join our FinOps team and help drive cost efficiency, governance, and visibility across both cloud and AI environments.
This role combines traditional FinOps (Cloud and SaaS) with emerging AI cost management practices. The ideal candidate comes from a FinOps or cloud cost management background, with strong technical orientation and the ability to work closely with engineering teams.
Depending on experience and strengths, the role will focus on either:
building and owning AI FinOps capabilities
OR
driving execution across cloud FinOps and vendor management
This is a high-impact role with both execution and ownership opportunities, working across engineering, finance, and procurement.
What you'll do:
Monitor, analyze, and optimize cloud, SaaS, and AI-related spend (AWS / GCP / Azure, vendors, LLMs)
Create visibility into usage, cost drivers, and efficiency metrics
Identify and drive optimization of inefficiencies (e.g., underutilization, over-provisioning, inefficient usage, excess AI consumption)
Work closely with engineering, DevOps, and data teams to translate usage into cost drivers and influence cost-aware architecture decisions
Build or support dashboards, tools, and automation for cost visibility and monitoring
Contribute to AI FinOps (governance, automation, agents) and/or Cloud/Vendor FinOps (vendor management, budgeting, forecasting).

What youll do:
Take full ownership, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into analysis and optimization of performance, scalability, and stability. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.