דרושים » תוכנה » Data Engineering 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.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We are looking for a Data Engineering Lead to join our Platform Group at our company. In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead at our company you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our company's platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our company's overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

Were seeking a talented and motivated R&D Team Leader to join our innovative startup in the security and privacy domain. Our company provides a cutting-edge data platform that enables organizations to manage internal data effectively, including scanning data sources to identify sensitive information such as PII.
As the R&D Team Leader, you'll lead a team of 5-6 skilled engineers focused on the scans and discovery domain, guiding them to achieve technical excellence and drive impactful projects.
What youll do:
Design, build, and deliver inventive, data-driven products to foster business growth
Write high-quality code covered by solid unit and integration tests
Make informed technological and architectural decisions while introducing new technologies and practices
Review the design and code for other team members

As the Data Scientist Team Lead, you will oversee and guide our data science team, driving the development and deployment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP). Your responsibilities will include managing and optimizing our Natural Language Understanding (NLU) models, leading prompt engineering efforts for Large Language Models (LLMs), and conducting thorough NLP assessments. You will also ensure the continuous monitoring and refinement of these models to maintain peak performance. These models will be seamlessly integrated into our core products, playing a critical role in advancing our strategic objectives.

What Youll Do:
Manage Data Science Team:
Responsibility of Fullstack DS from development to production.
Performing multiple assignments for Natural Language Processing (NLP).
Responsibilities over Natural Language Understanding (NLU) models.
Developing and implementing machine learning models in a production environment.
Handling prompt engineering tasks.
Monitoring and optimizing models.

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What youll do: As the Team Leader for Data Platform at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in our success.>
Responsibilities:
As Data Analyst Team Leader, you will:
Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
Directly build and optimize dashboards and reports that communicate key metrics across the organization
Write and review code for data pipelines, analytical models, and visualization tools
Develop and implement data quality processes while maintaining your technical edge through active coding
Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects.

Required Deep Learning Team Leader - L2 Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Deep Learning Team Leader - L2 Group, you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.
The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.
Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically.