לוח משרות דרושים הייטק דאטה

Who We're Looking For - The Dream Maker We're in search of an experienced and skilled data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various Storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data -related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data -related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure

We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.
Responsibilities
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.

Are you a person who likes to work in a fast paced organization? For two decades, our company has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. we are now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence.
Our data centers, and the thousands of servers installed in them, are the foundation upon which our creative products and services are delivered. Our customer base consists of hundreds of deeply intelligent engineers who continually provide us with complex problems to be solved. We are looking for a highly motivated Data Center Engineer to join our team. Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations.
What you'll be doing:
Act as technical liaison for our technical teams.
Project manage highly impactful large and small scale data center and lab projects.
Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware.
Contribute to the development of the global DC knowledge base
Lead teams to deploy new data center infrastructure, deliver server upgrades, integration, rebuild and other projects as required
Build plans to optimize power, cooling and network resources
Inventing the forecast to efficiently match supply to demand. Predict data center growth and scaling issues before they occur and implement solutions. You will acquire new facilities and optimize existing ones to support the business growth.
You will hunt for and resolve issues as well as analyze data looking for trends and systemic issues. Implement process improvements and develop a cutting edge operational environment.

Required Backend Engineer- Data Oriented
Are you passionate about building systems that scale? Do you thrive on tackling complex challenges with cutting-edge technology?
The Isolation team is at the heart of our core processes, driving innovation and resilience at scale. We are a group of technophiles dedicated to pushing boundaries and redefining whats possible. We are on the lookout for a talented engineer who is ready to elevate our products to new heights, ensuring they are robust, scalable, and future-proof.
As a developer in our team, you will need to:
Tackle software engineering challenges in multiple languages and frameworks, including big data batch processing.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other teams.
Develop and maintain systems that process large amounts of data, including legacy systems and gradually re-write them.

We are looking for a hands-on Data Specialist to join our growing data group, working on the practical backbone of high-scale, financial-grade systems. Youll work closely with engineers, BI, product, and business stakeholders, expert in design, build, and optimize data pipelines and integrations in a cloud-native environment.
If you thrive on solving complex data challenges, enjoy getting deep into code, and want to make an impact on fintech infrastructure, wed love to meet you.
Your Day-to-Day:
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems
Build and refine data models to support analytics and operational needs
Work hands-on with data orchestration, transformation, and cloud infrastructure (AWS/Azure)
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Contribute to data governance, data quality, and monitoring initiatives
Support implementation of best practices in data management and observability

We are looking a highly skilled and motivated Senior Data Engineer to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives.
This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights.
This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

Required Customer Data Engineer
As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities:
Develop and support a wide range of data transformations and migrations.
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures.
Investigate data mismatches and apply solutions.
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.

We're seeking a seasoned Data Engineer to build the data infrastructure that fuels our groundbreaking intelligent agent. You'll play a crucial role in developing large-scale data-intensive systems that power Apollo's capabilities.

**What You'll Do:**
- Design and implement massive parallel processing solutions for both real-time and batch scenarios.
- Develop real-time stream processing solutions using technologies like Apache Kafka or Amazon Kinesis.
- Build infrastructures that bring machine learning capabilities to production.
- Orchestrate containerized applications in cloud environments (AWS and GCP).
- Write production-grade Python code and work with various database systems.
- Administer and design cloud-based data warehousing solutions.
- Work with unstructured data, complex data sets, and perform data modeling.
- Collaborate with cross-functional teams to integrate data solutions into our AI systems.

We are seeking a highly skilled and experienced data scientist to join our data group and play a key role in the development of our product. The ideal candidate will have a strong background in data analytics, machine learning, and cyber security, and will be responsible for analyzing large sets of data generated by critical infrastructure systems to identify potential threats and vulnerabilities.

Responsibilities
Conduct hands-on research and development of cutting-edge models
Take research projects from ideation to deployment and production
Work closely with domain experts and the engineering department to improve and create new innovative solutions.
Help define the AI product roadmap.

we are looking for a Data Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

Were looking for a Financial Data Analyst to help shape decision-making across our pricing, budget planning, forecasting, and market strategy. In this role, you'll collaborate with cross-functional teams- from finance to senior leadership- to turn data into actionable insights.
If you're technically strong, curious, and thrive in a fast-paced environment, this might be your next challenge.
What you'll do:
Conduct a thorough analysis of financial results, KPIs, pricing, promotions, and competitor activities to guide strategic decisions.
Define, monitor, and communicate performance metrics through dashboards, reports, and clear insights to stakeholders.
Provide actionable recommendations beyond the numbers to support and execute business and strategic initiatives.
Lead projects and process improvements to strengthen operational efficiency, controls, and forecasting across units.
Conduct market and competitor benchmarking, and develop economic models and databases to support management decision-making.

Required Senior Data Engineer
Herzliya
Were a passionate, collaborative, and professionally diverse Data Platform team, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.
Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship
What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines
Create and evolve knowledge graphs, schemas, and lineage tracking systems
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.

We are in search of a detail-oriented and analytical Senior Business Analyst to join our growth team. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What You'll Do:
Work closely with the various teams to provide insights and analytics to support business decision making
Design, build and monitor funnels and AB tests at scale to optimize performance
Analyze data to identify trends/insights that may influence the product decisions
Support and advise the business with ad-hoc analytics, as well as apply statistical techniques to create insights and discover new business opportunities
Enable and support the business regarding the development and use of data analysis and reporting by building reporting-grade data sources in our BI environment and translating those data sources into meaningful dashboards and reports for easy business use
Provide business expertise and guidance (consultative partnership) on how to apply leverage data analytics and reporting within the organizations
Conduct research on the data to address some of the business questions
Create and deliver documentation and training on reporting and BI tools for business users to enable self-service on company data.

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.
The successful candidate should have hands-on experience with big data processing technologies and architectures.
The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.
Responsibilities:
Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.