לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER משרה מלאה

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how we measure success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

Were looking for a Data Engineer to build and scale the data infrastructure behind our Sales Streaming platform. This role is about owning pipelines that process massive volumes of data and power real-time, AI-driven features used by millions of sales professionals.
Youll work end to end - from data lakes to real-time streaming - collaborating closely with Data Science, ML, and Product teams to turn complex data into high-impact product capabilities.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy building data systems that run at scale and serve real users
You like owning your work end to end, from design to production
Youre a problem solver who enjoys turning messy data into reliable systems
You value autonomy, impact, and fast decision-making
Youre comfortable working in dynamic, AI-forward environments.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

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 mission-critical and diverse data pipelines over both public and on-prem cloud solutions.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.
The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka
Build and maintain data pipelines that are efficient, reliable and scalable
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data
Troubleshoot and resolve data pipeline issues in a timely manner.

We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
What Youll Do:
Design, develop, and maintain scalable, secure data platforms and backend services on AWS.
Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
Develop backend components and data-processing workflows in a cloud-native environment.
Optimize performance, reliability, and observability of data pipelines and backend services.
Collaborate with ML, backend, DevOps, and product teams to deliver data-powered solutions.
Drive best practices, code quality, and technical excellence within the team.
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).
Tech Stack:
AWS Services: S3, Lambda, Glue, Step Functions, Kinesis, Athena, EMR, Airflow, Iceberg, EKS, SNS/SQS, EventBridge
Languages: Python (Node.js/TypeScript a plus)
Data & Processing: batch & streaming pipelines, distributed computing, serverless architectures, big data workflows
Tooling: CI/CD, GitHub, IaC (Terraform/CDK/SAM), containerized environments, Kubernetes
Observability: CloudWatch, Splunk, Grafana, Datadog
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing)

We are at a pivotal stage in building and scaling our data domain, and we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.
What Youll Be Doing
Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.

Required Data Engineer
Position Overview:
We are assembling an elite, small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Data Engineer, you will be the critical data backbone of our innovation engine, transforming raw data into the fuel that powers groundbreaking GenAI solutions, driving our digital intelligence capabilities to unprecedented heights.
Your Strategic Role:
You are not just a data engineer - you are a strategic enabler of GenAI innovation. Your primary mission is to:
Prepare, structure, and optimize data for cutting-edge GenAI project exploration
Design data infrastructures that support rapid GenAI prototype development
Uncover unique data insights that can spark transformative AI project ideas
Create flexible, robust data pipelines that accelerate GenAI research and development
What Sets This Role Apart:
Data as the Foundation of AI Innovation
You'll be working at the intersection of advanced data engineering and generative AI
Your data solutions will directly enable the team's ability to experiment with and develop novel AI concepts
Every data pipeline you design has the potential to unlock a breakthrough GenAI project
Exploration and Innovation
Conduct deep data exploration to identify potential GenAI application areas
Work closely with AI researchers to understand data requirements for cutting-edge GenAI projects.

Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Engineer, you will have a leading role in developing our data platform, creating and extending our data infrastructure to allow research, development and BI across the company. You will work with multiple stakeholders (architects, analysts, data scientists, and more) to help enrich our data with additional insights.
Responsibilities
Implement robust cloud-based data infrastructure and pipelines as part of our Data Lakehouse infrastructure.
Collaborate with analysts, data scientists and other stakeholders to develop new products and features.
Ensure data integrity by extending our monitoring infrastructure.
Take part in challenging data migration and remodeling efforts.
Contribute to a culture of learning and knowledge-sharing within the team.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We are seeking an experienced Senior Data Platform Engineer to design and scale the robust, cost-efficient infrastructure powering our groundbreaking fraud prevention solution. In this role, you will architect distributed systems and cloud-native technologies to safeguard our clients' revenue while driving technical initiatives that align with business objectives and operational efficiency. 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 Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency. High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions. Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization. Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.

We are looking for a talented person who is passionate about data and what makes it valuable.
This person will help us improve and evolve our telemetric data across all stages - collection, modeling, analysis, and serving.
We are looking for someone who can understand the entire path of how telemetry data is collected, processed, analyzed, improved, described, and consumed inside the organization.
Key Responsibilities
Contribute to transforming the companys telemetry data and taking it to the next level.
Assist in maintaining and improving diagnostics and monitoring data deployed across various customer hardware and software environments.
Work with large-scale data to generate actionable insights and integrate diverse internal data sources.
Help in serving, exposing, and documenting the collected data for internal teams across the organization.

Required Senior Data Engineer (Customer)
Responsibilities
Design and build data solutions that support our Credit Card and Servicing business goals.
Develop advanced data pipelines to support the infrastructure, architecture and the product growth initiatives.
Create ETL/ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Collaborate with stakeholders across Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Required Data Infrastructure Engineer
Binyamina & Tel Aviv
About the Role:
We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life.
As part of our Data Engineering team, you will not only build scalable data platforms but also directly enable portfolio growth by supporting new funding capabilities, loan sales and securitization, and improving cost efficiency through automated and trusted data flows that evolve our accounting processes.
Responsibilities:
Design and build data solutions that support our core business goals, from enabling capital market transactions (loan sales and securitization) to providing
reliable insights for reducing the cost of capital.
Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

We are looking for a Data Engineering Team Leader with deep expertise in building and managing data pipelines and streaming architecture. This role is ideal for an experienced and proactive leader with strong technical skills in distributed systems and data platforms. You will drive the architecture, design, and development of scalable data ingestion and processing solutions. This is an exciting opportunity to join a growing product in an enterprise environment with significant impact and room for professional growth.
This job is located in Tel Aviv (hybrid).
About Us
At our company, were creating the industrys leading SASE platform, merging advanced security with seamless connectivity. Our mission is to empower businesses to thrive in a cloud-first world, and data is at the heart of this transformation.
Key Responsibilities
Inspire and mentor a top-tier data engineering team to deliver mission-critical solutions
Architect and optimize data ingestion, enrichment, and storage for massive scale and reliability
Collaborate with cross-functional teams to ensure seamless integration and data availability
Define best practices and enforce engineering excellence across the data domain.