לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER בתל אביב יפו

We are seeking a Senior 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.

Required Full Stack Data Engineer
Description
Were a fast-growing legal tech startup with an open, action-based culture unlike any other. We are committed to pursuing our vision of "frictionless justice," using advanced Machine Learning & AI to revolutionize the justice system.
Were not just looking for someone to maintain pipelines, databases, or APIs. This role goes beyond typical engineering, offering you a unique opportunity to influence business-critical decisions, shape the technology stack, and work at the intersection of data, business, and product innovation.
If you are passionate about solving complex problems and thrive in a dynamic, entrepreneurial environment, this is your chance to make an impact.
Responsibilities
Design, implement, and manage scalable, reliable products
Implement and manage ETLs and backend infrastructure
Collaborate with development teams to improve deployment processes
Design and implement scalable, reliable data products that are aligned with business goals.
Design and implement full stack products.
Why you should join us:
Join at a pivotal moment: This is a pivotal time to join the team. We are in the early stages of developing our data platform, and your technical expertise will shape our architecture and technology choices for years to come.
Product & Impact-Driven mindset: You won't just work with datayoull collaborate closely with product managers, data scientists, engineers, and customers to ensure our solutions drive meaningful results across all company products.
Core Team Influence: The Data team is central to everything we do. Your work will have a direct impact on the success of our products and the company as a whole. Youll collaborate with multiple departments, providing the backbone that power our mission of frictionless justice.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior data Engineer to join our data team. In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data /analytics platforms.
A day in the life and how youll make an impact:
* Design and develop high-performance data Pipelines and ETL processes to support diverse business needs.
* Work closely with business intelligence, Sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
* Continuously improve our data analytics platforms, optimizing system performance and ensuring robust, reliable data infrastructure.
* Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data -driven insights.
* Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data -related issues efficiently.

Our data Center, the AI Center at Tel Aviv Medical Center (Ichilov) is a pioneering data and research hub leading various initiatives to enhance medical diagnosis, prevention and treatment.
Our projects encompass diverse areas, including decision-support applications for clinicians, predictive models, image processing, NLP and more.
We are seeking a highly motivated full-time data engineer who is enthusiastic about working with extensive clinical Big Data sources.
The ideal candidate will be dedicated to creating and enhancing data processes to support our dynamic team.
Responsibilities:
Conduct data extraction, validation and profiling to maximize the value of dataDesign, implement, monitor and maintain data pipelines & ETLs for multiple data with researchers, experts and data scientists to comprehend data requirements as well as product design and deliver high-quality outcomes.
Manage data development process, including methodology, QA and maintenance.
Were dedicated to fostering a diverse and inclusive workplace.
If you're unsure whether you meet the qualifications, don't hesitate to reach out; we're here to support you through the process.If you are interested in this role, please send your CV to us.

Required Senior Data Engineer (Analytics)
Tel Aviv
As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.
What your day might look like:
Leading the design and implementation of scalable data pipelines to support analytical workloads.
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
Writing and optimizing ETL processes to ensure seamless integration of new data sources.
Designing analytics-focused data modeling solutions tailored for strategic decision-making.
Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.
This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

Required Data Engineer (Analytics)
Tel Aviv
As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable.
How is your day going to look, what will you be doing?
Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
Design data analytics modeling solutions focused on business decision-making
Write robust ETL processes, handling a variety of structured and unstructured data sources
Ensure data quality, consistency, and governance across the analytics layer.

We are seeking an experienced and innovative Data Engineer to join our dynamic team!
As a leading FinTech startup based in Tel Aviv, we are dedicated to providing comprehensive financial & all around solutions for small businesses. The ideal candidate will possess a strong background in data engineering, data warehousing, and data modeling. This role demands a talented professional who can design, develop, and maintain our data infrastructure, empowering stakeholders across the company to make data-driven decisions. If you are a talented, humble, and ambitious individual ready to make a significant impact in a rapidly scaling company, we invite you to join us on our journey to revolutionize services for small businesses worldwide.
About the Opportunity:
As a Data Engineer, you will play a pivotal role in establishing and enhancing our data infrastructure, empowering stakeholders across the company to make informed, data-driven decisions.
What youll be doing:
Engage with potential customers via phone, email, and online communication tools to follow up on inquiries and leads.
Build and maintain relationships with prospects, understanding their needs and offering tailored solutions.
Develop and deliver sales pitches that highlight the benefits of our services.
Guide customers through the sales process, from the initial conversation to closing the deal.
Assist in onboarding new customers, ensuring they have a smooth and positive experience with our platform.
Maintain accurate records of interactions, sales progress, and follow-up tasks using our CRM system.
Continuously refine your product knowledge to better assist prospects and customers.
Responsibilities:
Design, develop, and maintain scalable and efficient data warehouse that align with our goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting data services and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the data warehouse
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
Implement best practices for data warehouse and database performance tuning
Conduct thorough testing of data applications and implement robust validation processes
Collaborate closely with cross-functional teams including Developers, Data Scientists, Product Managers, and Squad Leaders to build the best possible high-quality data systems and services
Help scale the data infrastructure through the introduction of proper processes and practices.

As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. You are encouraged to think big and help out in other areas as well.

Key focuses:
Designing and writing code that is critical for business growth.
Mastering scalability and enterprise-grade SAAS product implementation.
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices.
Review your peer's design and code.
Work closely with product managers, peer engineers, and business stakeholders.

We're seeking a Senior Data Engineer to architect and develop sophisticated data solutions using advanced Spark, PySpark, and Databricks implementations in our mission to transform the cyber-security breach readiness and response market.

What youll do:
Join us in crafting cutting-edge solutions for the cyber world using Spark/PySpark ETLs and data flow processes. Dive into the realm of multi-Cloud environments while collaborating closely with investigators to fine-tune PySpark performance. Harness the power of top-notch technologies like Databricks to elevate our technical projects, scaling them for efficiency. Embrace innovation as you research and implement new techniques. Evolve with us as a key member of the Mitiga R&D team.

A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.

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.

Responsibilities
The data engineer is responsible for defining the data ecosystem used by the R&D team at Autobrains.
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the company's development projects.
Establish and implement an effective process for data management.
Monitoring data tasks and improving processes.
Develop Python scripts to automate repetitive data tasks, ensuring high efficiency in data handling.
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide quality data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.

Required Data Engineer, Product Analytics
As a Data Engineer, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining us, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.

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 data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives us 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 us 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.

As part of the Data Infrastructure group, youll help build our data platform for our growing stack of products, customers, and microservices.

We ingest our data from our operational DBs, telematics devices, and more, working with several data types (both structured and unstructured). Our challenge is to provide building tools and infrastructure to empower other teams leveraging data-mesh concepts.

In this role youll:

Help build our data platform, designing and implementing data solutions for all application requirements in a distributed microservices environment.

Build data-platform ingestion layers using streaming ETLs and Change Data Capture.

Implement pipelines and scheduling infrastructures.

Ensure compliance, data-quality monitoring, and data governance on our data platform.

Implement large-scale batch and streaming pipelines with data processing frameworks.

Collaborate with other Data Engineers, Developers, BI Engineers, ML Engineers, Data Scientists, Analysts and Product managers.

Share knowledge with other team members and promote engineering standards.