דרושים » תוכנה » data Analyst

Were seeking a passionate, experienced Senior Data Analyst to join our team.
Our offices are located in Poleg, Netanya, and we work in a hybrid model.
Responsibilities:
Drive strategic insights by working hands-on with complex data sets, seamlessly blending structured quantitative metrics with unstructured qualitative data (e.g., text, consumer feedback).
Build agile analytical solutions, developing and maintaining advanced visual reports and interactive dashboards in Power BI to allow stakeholders to consume complex data easily.
Deliver high-impact presentations (in English) to cross-functional teams and senior leadership, transforming raw data into clear, coherent, and compelling narratives that drive action.
Optimize and automate: Proactively identify bottlenecks in current research processes and reduce turnaround times by building automated pipelines, templates, and dynamic models using SQL and Advanced Excel.
Act as a strategic partner: Work highly autonomously to map business needs, master new domains on the fly, and provide data-driven guidance. This is an individual contributor role.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are looking for a Junior Data Analyst: B.Sc. graduate with analytical capabilities to be part of our Data team. Key Responsibilities: Data Collection:
* Develop and maintain data analysis and tagging tools.
* Collaborate with cross-functional teams to collect experimental data. Experiment Analysis:
* Analyze and tag field experiments. R&D Data Analysis Support:
* Analyze datasets to extract meaningful data-based insights.

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

we are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.
What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

Required Data Engineer - Finance Solutions
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI. Our team operates in a truly international and heterogeneous environment, with members and partners split between Israel, France, UK and NY.
What will you do?
As a Data Engineer, you will be the backbone of our data-driven financial operations. You will focus on building and maintaining the infrastructure that turns raw financial data into actionable insights. You will serve as a technical liaison between engineering and business stakeholders to translate analytics requirements into scalable data solutions.
Collaborate with colleagues (engineering, product managers and finance) to understand data requirements and deliver data solutions.
Design, build, and maintain data models that are scalable, extendable and easy to use by other teams.
Design, build, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Create and maintain dashboards and reports that provide visibility into key financial metrics like revenue, usage, and cost.

We are seeking a Data Engineer to join our growing data team to design, build, and maintain data pipelines and infrastructure. You will work on distributed systems, orchestration frameworks, cloud environments, and modern data technologies to ensure that data flows reliably and efficiently across the organization.
Key Responsibilities:
Optimize processes for scalability and efficiency in distributed environments.
Ensure data quality, integrity, and performance across workflows.
Work with cloud-native solutions and containerized environments (Docker/Kubernetes).
Implement and manage orchestration frameworks (Airflow/Dagster/etc.).
Collaborate with cross-functional teams to support business and research needs.
Develop and enforce CI/CD processes and data testing frameworks (pytest, GE, or similar).
Monitor, troubleshoot, and continuously improve pipeline reliability and performance.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services.
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!

we are looking for a skilled Data Center Engineer to join our Lab team. The ideal candidate will be responsible for maintaining, monitoring, and optimizing our data center environments to ensure high availability, resiliency, and performance. This role involves hands-on technical work, troubleshooting hardware and network issues, and collaborating with cross-functional teams to support mission-critical systems. You will report to the Lab Manager.
Key Responsibilities
Data Center Operations
Perform installation, configuration, and maintenance of servers, network equipment, storage systems, and cabling.
Monitor facility systems, including power, cooling, fire suppression, and physical security.
Conduct routine inspections to ensure environmental and operational stability.
Manage data center capacity planning (space, power, cooling).
Hardware & Infrastructure Support
Troubleshoot and resolve hardware failures for servers, routers, switches, and other equipment.
Coordinate with vendors for RMA processes and hardware lifecycle management.
Perform firmware upgrades and hardware refresh activities.
Network & Systems Support
Support deployment and maintenance of network infrastructure (LAN/WAN, routing, switching).
Assist with installation and configuration of OS and virtualization technologies (Linux, VMware, Hyper-V, etc.).
Work with IT/security teams to ensure compliance and secure configuration of data center assets.
Monitoring & Incident Response
Monitor systems and respond to alerts to ensure uptime and SLA adherence.
Maintain accurate documentation of incidents, configurations, and procedures.
Process & Documentation
Follow and improve standard operating procedures.
Maintain asset inventory, rack diagrams, and documentation.
Support audits and compliance requirements.