לוח משרות דרושים הייטק דאטה

We are seeking a Data/Backend Engineer with strong hands-on experience in Python-based ETL pipelines and cloud-native development on AWS.
You will work directly with the customers technical leadership, participating in architecture discussions, solution design, and ongoing implementation for a long-term project.
Core Responsibilities:
Develop and maintain Python ETL pipelines, data ingestion flows, and processing jobs.
Build backend components and microservices deployed on AWS Kubernetes (EKS).
Integrate and optimize data models, APIs, and batch/real-time processes.
Collaborate with technical stakeholders to understand requirements and translate them into scalable solutions.
Ensure reliability, observability, and performance of pipelines and services.
Work in a hybrid environment, coordinating closely with onsite teams and customer technical representatives.

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of CrowdStrike's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do:

Lead and mentor a team of data engineers building high-performance data processing pipelines.

Define technical strategy and architecture for complex data transformations using Apache Spark.

Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes.

Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features.

Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems.

Manage team performance, including hiring, career development, and performance reviews.

Balance technical execution with strategic planning and resource allocation.

Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives.

We are seeking a Data Architect to lead the design of end-to-end, enterprise data architectures that enable analytics, AI, and data-driven transformation across customer environments.
In this role, you will act as a trusted advisor, defining the architectural vision, target-state designs, and roadmaps for IBM data solutions. You will work closely with customers, sales manager, and presale engineers to translate business needs into scalable, secure, and future-ready data platforms across hybrid and multi-cloud environments.
Responsibilities:
Define data architecture vision, target-state, and roadmaps for customer environments
Design enterprise-scale architectures for data warehouses, data lakes, lakehouse, and streaming platforms
Architect data platforms to support analytics, AI, and generative AI use cases
Act as a trusted advisor to customers on data modernization, governance, and AI readiness
Ensure architectures align with security, governance, and regulatory requirements
Guide implementation teams to ensure adherence to architectural standards
Collaborate with Consulting, Sales, and Delivery teams on solution design and proposals
Contribute to IBM reference architectures, standards, and reusable patterns

our company's data & AI division is expanding, and were looking for a skilled and motivated BI / data Engineer to join our growing team. This role offers the opportunity to work on innovative data projects, collaborate with cross-functional teams, and help shape data -driven strategies across industries. Responsibilities:
* Develop and maintain ETL processes in Azure with diverse data sources
* Design, manage, and optimize cloud-based data environments
* Build and optimize scalable data Warehouses
* Write complex SQL queries and perform performance tuning
* Work with data Lakes, parallel job execution, and cloud Big Data architectures
* Develop cloud-based AI solutions, including Generative AI models
* Perform data modeling and analytics using Power BI

our company Professional Services is seeking for an experienced and strategic Head of data / data Manager to lead and build the companys end-to-end organizational data domain. This role includes establishing and developing a new AI-enabled data platform, full responsibility for advanced data & BI architecture, leading strategic projects, and working closely with senior management. This is a senior leadership position reporting directly to the VP of Technology. Key Responsibilities
* Lead the design, setup, and development of an enterprise data Warehouse and organizational data platform
* Own the full architecture, methodology, and implementation of Snowflake and Tableau environments
* Manage and professionally lead the data team, including mentoring and employee development
* Define and implement data methodologies, standards, and best practices
* Lead cross-organizational strategic data projects in collaboration with senior executives, IT, and business units
* Manage external vendors and consulting companies
* Lead the AI domain within data, including implementation of advanced AI-enabled data infrastructures
* Act as a strategic partner to senior management, providing data -driven insights and leadership

our company's data & AI division is expanding, and were looking for a skilled and motivated BI / data Engineer to join our growing team. This role offers the opportunity to work on innovative data projects, collaborate with cross-functional teams, and help shape data -driven strategies across industries. Responsibilities:
* Develop and maintain ETL processes in Azure with diverse data sources
* Design, manage, and optimize cloud-based data environments
* Build and optimize scalable data Warehouses
* Write complex SQL queries and perform performance tuning
* Work with data Lakes, parallel job execution, and cloud Big Data architectures
* Develop cloud-based AI solutions, including Generative AI models
* Perform data modeling and analytics using Power BI

abra professional services is seeking for an senior data engineer. We are seeking a Senior Data Engineer to lead the technical development of our Data Fabric within a military program. This role involves technical leadership in building contextual data pipelines, working with big data lakehouse architectures, and driving data pipeline automation.

We seek a skilled Senior Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.
Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Example Projects

Researching and running POCs of new technologies to select the optimal solution for system requirements.

Migrating massive amounts of user-level data into Iceberg, while keeping scale and cost efficiency in mind.

Designing and implementing a robust pipeline capable of ingesting billions of real-time events daily (hundreds of thousands per second).

Exploring and choosing database and streaming technologies to support a rapidly growing clientele base.

Leading the design and development of a new streaming ETL product with low memory footprint and efficient processing.


Key Responsibilities

Design and build scalable pipelines processing billions of events daily.

Dive deep into infra technologies and optimize them at scale.

Lead major efforts from idea initiation → design → implementation.

Tackle complex challenges in scalable architecture within our AWS environment.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

A fast-growing fintech AI start-up company, focused on eliminating fraud and chargebacks in online commerce, is looking for an experienced Senior Data Engineer.
In this Roll, you will build large-scale, cutting-edge data solutions for fraud prevention, with the potential to grow into a technical leadership role.
The company is located in Modi'in, central Israel. Hybrid work model.
Responsibilities
Build and maintain scalable data pipelines and ETL processes.
Design complex data models and optimize data architecture.
Collaborate with teams to deliver high-quality, compliant solutions.
Troubleshoot production issues and implement best practices.
Recommend new technologies to enhance the data infrastructure.

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

we are looking for a Data Engineer.
This is a full-time, on-site role for a Data Engineer at WideOps Ltd., located in Haifa.
The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs.
The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientist-a creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities:
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows - from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety.
This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.