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In this role, you will shape our data infrastructure and tackle complex data challenges at a huge scale, by building a robust and efficient data platform.

What You'll Do:

Lead the Design and Development of Scalable Data Pipelines: You'll be instrumental in architecting, building, and optimizing data ingestion and processing pipelines from the ground up. This includes designing robust ETL/ELT processes to handle massive datasets, potentially reaching dozens of terabytes daily.

Collaborate Closely with Data Consumers: You'll partner with data analysts, data scientists, and engineering teams to understand their data requirements, translate them into technical solutions, and optimize data delivery for their specific use cases.

Champion Data Modeling and Data Quality: You'll apply your deep understanding of data modeling principles to design efficient and well-structured data schemas that facilitate insightful analysis and reporting. You'll also be a strong advocate for data quality and implement processes to ensure data accuracy and integrity.

Build and Maintain a Modern Data Platform: You'll contribute to the development and evolution of our cloud-based data platform, ensuring its reliability, performance, and scalability to meet the growing needs of our data consumers.

Drive Innovation in Data Processing: You'll continuously explore and implement new technologies and methodologies to enhance our data platform's capabilities and efficiency.

We are seeking a talented Data Engineer to join our BI & Data team in Tel Aviv. You will play a pivotal role in building and optimizing the data infrastructure that powers our business. In this mid-level position, your primary focus will be on developing a robust single source of truth (SSOT) for revenue data, along with scalable data pipelines and reliable orchestration processes. If you are passionate about crafting efficient data solutions and ensuring data accuracy for decision-making, this role is for you.



Responsibilities:

Pipeline Development & Integration

- Design, build, and maintain robust data pipelines that aggregate data from various core systems into our data warehouse (BigQuery/Athena), with a special focus on our revenue Single Source of Truth (SSOT).

- Integrate new data sources (e.g. advertising platforms, content syndication feeds, financial systems) into the ETL/ELT workflow, ensuring seamless data flow and consolidation.

- Implement automated solutions for ingesting third-party data (leveraging tools like Rivery and scripts) to streamline data onboarding and reduce manual effort.

- Leverage AI-assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate pipeline development

Optimization & Reliability

- Optimize ETL processes and SQL queries for performance and cost-efficiency - for example, refactoring and cleaning pipeline code to reduce runtime and cloud processing costs.

- Develop modular, reusable code frameworks and templates for common data tasks (e.g., ingestion patterns, error handling) to accelerate future development and minimize technical debt.

- Orchestrate and schedule data workflows to run reliably (e.g. consolidating daily jobs, setting up dependent task flows) so that critical datasets are refreshed on time.

- Monitor pipeline execution and data quality on a daily basis, quickly troubleshooting issues or data discrepancies to maintain high uptime and trust in the data.

Collaboration & Documentation

- Work closely with analysts and business stakeholders to understand data requirements and ensure the infrastructure meets evolving analytics needs (such as incorporating new revenue streams or content cost metrics into the SSOT).

- Document the data architecture, pipeline processes, and data schemas in a clear way so that the data ecosystem is well-understood across the team.

- Continuously research and recommend improvements or new technologies (e.g. leveraging AI tools for data mapping or anomaly detection) to enhance our data platforms capabilities and reliability and ensure our data ecosystem remains a competitive advantage.

We are looking for a hands-on Data Team Lead to manage and grow our analytics function. You will lead a team of analysts, own our BI infrastructure, and partner directly with Executive, Product, and Risk leadership to translate complex data into strategic business decisions.

Responsibilities
Lead & Mentor: Manage, recruit, and develop a high-performing team of data analysts.
Drive Strategy: Partner with stakeholders to define KPIs and deliver insights on credit risk, merchant growth, and operational efficiency.
Build Infrastructure: Own the development of self-service dashboards (Tableau/Looker) and maintain the semantic layer in collaboration with Data Engineering.
Execute Analysis: Lead complex analyses and A/B tests to optimize approval rates, pricing, and user experience.
Data Governance: Ensure data quality, accuracy, and documentation across the organization.

We are seeking a Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization.

You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.



What you will do:

Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence, and operational needs.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

About us:
We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process
What You'll Do:
Design, build, and maintain data pipelines and infrastructure
Develop and implement data quality checks and monitoring processes
Work with engineers to integrate data into our systems and applications
Collaborate with scientists and analysts to understand their data needs.

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.