דרושים » תוכנה » Big Data Engineer Team Lead

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 our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company 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 our company 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.

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.

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

Were looking for a Senior Data Engineer in the Data Collection Ingest team to contribute to the design and coding of data ingestion services & pipelines. This role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.
Why is this role so important?
As the most trusted platform for measuring online behavior, millions of people rely on insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis. As a Data Engineer you will have the opportunity to perform hands-on work and own raw data ingestion pipeline end-to-end. Your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.

we are looking for a seasoned and hands-on Unity Tech Lead to drive technical excellence across our mobile gaming organization. This is a highly strategic role at the intersection of game development, data & analytics, live-ops, tooling, and ML-driven systems.You will act as a technical authority and multiplier-setting direction, raising engineering standards, and enabling teams to build scalable, high-quality, and high-performing games using Unity as the core platform.
Play a key role in shaping a growing gaming division, with real influence on strategy, culture, and player experience.
Work at the intersection of game development, data, ML, graphics, and tooling, solving complex, high-impact problems.
Collaborate with top-tier talent across engineering, design, analytics, and operations in a fast-moving, supportive environment.
What you'll be doing
Lead and influence technical decisions across multiple engineering teams and studios, spanning game development, internal tools, live-ops, and operational systems.
Partner closely with engineering managers and developers to execute the technical vision and roadmap for games portfolio, ensuring high-quality visuals, performant code, and engaging player experiences on mobile.
Oversee client analytics and configuration infrastructure: build and maintain reliable, scalable systems that feed game design, live-ops, user-engagement, monetization, and business decisions.
Work with machine learning and data science teams to design and operationalize models for player behavior prediction, personalization, content generation, and monetization optimization.
Champion internal tooling and operational excellence-from CI/CD pipelines and build systems to live-ops dashboards, monitoring/observability, and developer productivity tools.
Collaborate deeply with product, design, art, engineering, operations, marketing, and business teams to align on goals, metrics, and delivery.
Mentor senior and mid-level engineers, contribute to hiring and growth programs, and help build a strong, scalable engineering culture with high standards.
Define and track KPIs across game performance, live-ops health, retention and monetization, platform stability, tooling adoption, and team productivity.
Stay on top of trends in Unity, real-time 3D/graphics, mobile performance, ML/AI in games, and data-driven live-ops-and translate them into actionable strategy.

We are seeking an Engineering Team Lead to join our R&D organization, reporting directly to the Senior Director of R&D. This role is ideal for a hands-on technical leader who thrives at the intersection of backend engineering and product, building and evolving core Engine pipelines that transform research, data, and models into reliable, scalable, production-grade customer-facing capabilities.
Responsibilities:
Lead & Mentor a team of Backend Software Engineers.
Own the design, development, and delivery of core backend systems and services.
Ensure Engineering excellence in all aspects of infrastructure, deployment, monitoring, and stability.
Own critical services, APIs, data flows, and complex business logic.
Design and operate backend systems that support ML and LLM-powered components, including model inference pipelines, orchestration, configuration management, and integration with data and research workflows.
Collaborate closely with Product, Research, and Platform teams to translate business and product requirements into robust technical solutions.
Drive efficiency and scalability through thoughtful system design, automation, and AI-assisted development tools when appropriate.
Foster a culture of ownership, technical excellence, collaboration, and continuous improvement within the team.

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.



What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

We are looking for a talented and dedicated Data Analyst - ML & Big Data who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a Data Analyst - ML & Big Data look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

Required Engineering Team Lead - Email Processing & Smart Trackers
Tel Aviv
We harnesse the power of AI to transform how revenue teams win. The Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. Powered by the Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, We helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.
You will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, we are the place to do the best work of your career.
Ready to lead one of our most impactful platform teams?
Join us as an Engineering Team Lead in our AI Platform division - the force behind intelligent email processing, AI-powered conversation insights, and robust data compliance systems that power applications used by thousands of companies.
In this role, youll sit at the intersection of scalable infrastructure, machine learning innovation, and privacy-first engineering - leading a high-performing team to tackle complex challenges in communication intelligence and data governance. If youre passionate about driving technical excellence and building the foundation for our core experiences, this is your opportunity to make a lasting impact.
As the Engineering Team Lead, you will:
Lead and expand a growing team of backend and frontend engineers.
Collaborate closely with the Product Manager to shape the teams roadmap, balancing both product goals and engineering priorities.
Lead by example, driving continuous improvement and optimization of our core application infrastructure.
Design and architect long-term technical solutions that deliver a significant impact on both our wide platform and customers.
Own a critical, high-load system at the heart of our operations - combining advanced AI capabilities with exceptional speed and efficiency.
Coach, mentor, hire, and grow individuals on the team to reach their full potential.

In this role, youll own the engineering backbone that enables our data engineers & data scientists to experiment, innovate, and deploy production-ready models, ensuring our systems are robust, scalable, and future-proof.

What You'll Actually Do:

Lead and mentor a team of Data Engineers, fostering a culture of technical excellence, accountability, and collaboration.
Define and drive the teams technical roadmap, standards, and best practices for data modeling, performance, and reliability.
Design, build, and evolve scalable embedding pipelines and recommendation infrastructure, from algorithm tuning and training workflows to production deployment.
Manage and optimize vector db, ensuring efficient indexing strategies, search performance, and low-latency retrieval.
Lead the development of retrieval services leveraging Approximate Nearest Neighbor (ANN/KNN) techniques such as HNSW, IVF, and Product Quantization (PQ).
Ensure reliability, observability, and scalability across all real-time data systems powering our recommendation engine.
Collaborate with Data Science, Product, and Analytics to operationalize models, validate KPIs, and translate technical insights into actionable product improvements.