דרושים » דאטה » BI Data Engineer - BI & Fabric Platform

were looking for skilled professionals to help shape our data platform and drive the next generation of trading technology.

In this role you will:
Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

Architect and optimize data workflows across AWS and on-premise environments.

Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

Help assess and implement frameworks such as DBT for data transformation and modeling.

Develop best practices and internal standards for data engineering, monitoring, and testing.

Contribute to the long-term vision and roadmap of Fin-on-exs data infrastructure.

Required Senior Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Build our ML platform and automate the ML lifecycle.
Drive business-wide ML projects from an engineering perspective.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.

We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage our accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across us and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

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.

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

The Audiences team is responsible for building and maintaining our industry leading segmentation solution. Enabling customers to define, manage, and activate dynamic user segments across multiple advertising platforms.

We handle complex data pipelines, real-time audience updates, and seamless integrations with major media partners. Were also building predictive audience capabilities using AI to help our customers target the right users before they take action. Our work plays a critical role in driving user acquisition, engagement, and retention strategies for some of the worlds largest brands.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals

What youll do
Solve diverse, complex problems at a large scale
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production
Analyze and improve performance, scalability and stability of our products, environments and tools
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale

The Storage Technologies Quality Engineering team within our CoreOS organization is looking for a results-oriented leader with strong technical and interpersonal skills to lead a team of Quality Engineers with a focus on our Software Updates validation. The person in this role will work closely with Engineering, other QA, and cross-functional managers on delivering the highest quality experience for all our products!
As a member of our dynamic group, you will have the unique opportunity to be part of validating our Software Updates components. You will be responsible for ensuring features and performance are maintained at the highest standard.

You will be managing a team of Software Development Engineers in Test, focusing on white box testing for all our Platforms. You will drive the testing, data gathering, and project reporting for your team. You will coordinate testing with other teams, review test plans and related documentation, monitor progress, and provide sign-offs on all presubmission and release milestones. You will process data from multiple sources, draw meaningful conclusions, and present valuable recommendations to leadership. You will also be expected to contribute as an individual contributor!

Responsibilities:
Manage a team of Development Engineers in Test.
Develop, modify, automate complete test strategies, plans, and programs
Coordinate testing between multiple sites.
Drive quality initiatives for areas of responsibility.
Actively participate in testing the work you're doing.

The Mobile SDK team at our company is responsible for developing and maintaining the mobile product, focusing on our mobile SDKs for iOS and Android. We work closely with the internals of both platforms, integrating with various mobile frameworks like React Native, Xamarin Forms, MAUI, and Flutter. Our team is dedicated to ensuring the highest quality of the SDK through rigorous automation and maintaining efficient release pipelines. We also collaborate closely with customers to deliver the best possible mobile experience, ensuring their success with our product.

our mobile SDK allows businesses to collect detailed analytics on user behavior within their mobile applications without extensive coding. This data helps them understand how users interact with the app and enables the delivery of targeted in-app messages and guides on top of the app to improve user experience and drive product adoption.

Role Responsibilities
Design and Evolve Android SDK Features: Architect, implement, and maintain new functionality within the Android SDK. Ensure seamless integration with the broader mobile product ecosystem and deliver an exceptional developer experience.
Leverage Deep Knowledge of Android Internals: Work closely with Android internals to optimize performance, resolve complex issues, and ensure compatibility across a wide range of devices and OS versions.
Cross-Platform Mobile Framework Development: Contribute to SDK development across multiple mobile frameworks-including Flutter, React Native, Xamarin Forms, and MAUI-ensuring broad compatibility, high performance, and feature parity.
Deliver High-Quality, Maintainable Code: Write clean, efficient, and scalable code. Champion best practices by developing unit and integration tests, enabling automation, and actively participating in code reviews.
Integrate Seamlessly with Mobile Ecosystems: Collaborate with team members to ensure the SDK integrates smoothly with third-party mobile frameworks and developer tools, reducing friction for partner teams and end users.
Support Global Customers: Partner with international customers to provide technical guidance, troubleshoot integration challenges, and help them succeed with our mobile solutions.
Collaborate Across Teams: Engage with product managers, designers, customer-facing teams, and fellow engineers to align on priorities and deliver an exceptional mobile experience.
Drive Continuous Improvement: Contribute to team initiatives focused on process enhancement, tooling, and innovation to ensure the SDK remains cutting-edge and developer-friendly.

Israel is the biggest company center of excellence in the security domain and plays a pivotal role in safeguarding our global digital ecosystem. As the largest company center of excellence in the security domain, our teams in Israel are at the forefront of innovation and defense against emerging cyber threats. With over 60% of our site dedicated to security, we are committed to developing cutting-edge solutions that protect millions of users worldwide. Our contributions have a profound impact on the global security organization, driving advancements and setting new standards in cybersecurity.    Click here to learn more about security groups located in Israel What We Do | our company Israel R&D.   Our teams are dedicated to building cutting-edge Cyber Defense solutions, leveraging state-of-the-art cloud technologies, big data, AI, and modern UX platforms to deliver unparalleled value to our customers.    As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats. We value diversity and believe that different experiences and perspectives make our team stronger.   If you're passionate about cyber defense and eager to make a significant impact on global security, love working with data, and want to make the world a safer place, come join us! 
Responsibilities
As a Software Engineer you will:
contribute to business-critical initiatives in our company Security
Requiring deep technical skills and the ability to quickly adapt to new areas.
Will improve the end-to-end lifecycle of services
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
You will also collaborate with multiple teams across our company to deliver key customer solutions and support technology.
Join us to unlock your highest potential in a collaborative and agile culture! 

We are seeking a talented Software Engineer to join our core cloud platforms team.
You will join a dynamic team focused on large-scale data extraction and processing under strict SLAs, while developing APIs for seamless integration with Microsoft services, ensuring optimal performance with minimal impact on memory, CPU and network traffic.

Responsibilities
Drive end-to-end feature development, from initial design through implementation and deployment, ensuring high performance, scalability, and reliability.
Collaborate closely with experienced developers, system architects, and product managers to deliver innovative, high-quality solutions that align with business goals and best architectural practices.