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

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply best practices for data security, integrity, and performance across all systems.

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

We are seeking an experienced and innovative Data Engineer to join our dynamic team at ! As a leading FinTech startup based in Tel Aviv, is 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 at , you will play a pivotal role in establishing and enhancing 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 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 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.

Required Data Engineering Tech Lead
Data is everythingits at the heart of every product decision, every customer insight, and every strategic move we make. The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. This role sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of our intelligent data services.
What will you be responsible for?
Leading the design and evolution of scalable, high-quality data workflowsfrom batch pipelines to real-time data products.
Setting and upholding engineering best practices across code quality, testing, CI/CD, observability, and documentation.
Mentoring and empowering data engineers while fostering a high-performance, collaborative team culture.
Identifying and executing on opportunities to create new data features and assets that enhance product capabilities.
Driving architectural decisions around data modeling, storage, and compute in cloud environments (e.g., Databricks, Snowflake).
Collaborating with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure seamless delivery and platform excellence.
Championing a data-driven mindset throughout the organization, balancing business context with technical rigor.

We're looking for an experienced Data Engineer Team Lead to join our growing data group. In this role, youll not only design and implement high-scale, data-intensive platforms but also lead a team of talented engineers, driving the evolution of our data infrastructure. You will research and implement cutting-edge algorithmic solutions and collaborate with cross-functional teams on significant, high-impact projects that support our mission of providing accurate and actionable business intelligence.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data teams own and manage the pipelines that create our assets, with a strong focus on the company KPIs.
What will you be responsible for?
Solve Complex Business Problems with Data Integration and Engineering Solutions
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.
Collaborate with Business Stakeholders and Define Priorities
Partner with Product Managers, Data Scientists, and other key stakeholders to prioritize data initiatives that directly impact our core product offerings and user experience.
Ensure data solutions align with business goals, helping drive product features that bring value to our users and streamline B2B sales processes.

Were looking for a Data Engineer for the Insight Team to join our Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for our customers.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is everything, its at the heart of everything we do. The Data Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Insight Team monitors user behavior across our products, leveraging millions of signals and time-series entities to power a personalized recommendation and ranking system. This enables users to access more unique and tailored data, optimizing their experience while maintaining a strong focus on the key KPIs that drive the success of our Data Group.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

Were looking for a Data Engineer to design and implement high-scale, data-intensive platforms, research and develop algorithmic solutions, and collaborate on key company initiatives. You will play a critical role within our core data teams, which are responsible for managing and optimizing our fundamental data assets.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building and maintaining the core products that power our business. The data teams own and manage the pipelines that generate our assets, with a strong focus on optimizing key company KPIs.
We leverage cutting-edge technologies to build and scale our data infrastructure. In this role, you will work closely with Data Scientists and Data Analysts on a daily basis, collaborating to develop innovative data solutions that drive business impact.
What will you be responsible for?
Solve Complex Business Problems with Scalable Data Solutions
Develop and implement robust, high-scale data pipelines to power our core assets.
Leverage cutting-edge technologies to tackle complex data challenges and enhance business operations.
Collaborate with Business Stakeholders to Drive Impact
Work closely with Product, Data Science, and Analytics teams to define priorities and develop solutions that directly enhance our core products and user experience.
Build and Maintain a Scalable Data Infrastructure
Design and implement scalable, high-performance data infrastructure to support machine learning, analytics, and real-time data processing.
Continuously monitor and optimize data pipelines to ensure reliability, accuracy, and efficiency.

a Senior Data Engineer to join its Research Engineering team. The Research Engineering teams mission is to enable research needs. We succeed when our research analysts, data scientists, and engineers have access to the data, tools, knowledge, and support to do their jobs painlessly and efficiently.

We build the foundational infrastructure and key applications that allow internal users to derive actionable insights from vast data. Both enablingand runningBig Data processing at the scale of hundreds of TB is a core part of what our team does, but were not just a Big Data team. We work across the tech stack in support of our mission to enable data-driven research and investigation, from back-end to front-end to data stores.

What you'll be doing:

Design, build, and maintain foundational infrastructure and key applications that allow people to effectively leverage proprietary and public data
Use modern technologies daily, such as: Snowflake, Databricks, Apache Spark, Elasticsearch, AWS, Kafka, and more
Expand and optimize data warehouse and lakehouseweighing tradeoffs between performance, cost, and user experienceacross continually larger and more complex datasets
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access
Enhance analysts most-used web application, which gives them in-depth insight into every decision we make
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!)
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack

As the Data Stores team, we are responsible for implementing and delivering database solutions that handle and store petabytes of data. Our focus is on scalability, low latency, high throughput, and geo-distributed database systems, ingesting terabytes of data every day. We provide seamless, reliable, and scalable database solutions, which are key components for Machine Learning Models that deliver highly accurate, real-time risk decisions to protect our customers from fraud. Continually adapting to the evolving landscape and trends in databases, we implement new database offerings to ensure innovative solutions stay ahead in the market.

What you'll be doing:
Design, implement, and maintain scalable, reliable, and efficient database solutions.
Lead and mentor engineers to ensure the seamless operation of our database systems.
Investigate and implement performance and cost optimizations for our database solutions.
Create or introduce tooling and processes to support the operational aspects required for maintaining large database solutions.
Contribute to the continual improvement of our database infrastructure.
Stay updated with the latest trends and technologies for databases, and implement new database offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our database systems.

We are looking for a talented Senior Data Engineer to join us.
As a Data Engineer, you will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data platforms and data models and providing business intelligence. You will work in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders to deliver the best solutions to support the business and provide operational excellence.
If you are passionate about data, a team player, and proactive, we want to hear from you.
Responsibilities:
Design, Develop & Deploy Data Pipelines and Data Models on various Data Lake / DWH layers
Ingest data from and export data to multiple third-party systems and platforms (e.g., Salesforce, Braze, SurveyMonkey).
Architect and implement data-related microservices and products
Ensure the implementation of best practices in data management, including data lineage, observability, and data contracts.
Maintain, support, and refactor legacy models and layers within the DWH

we are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Join Our Team as a Senior Data Engineer at our company!
Job Summary:
We are seeking an experienced Senior Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business.
Key Responsibilities:
Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, Azure services.
Troubleshoot and optimize queries and jobs for performance improvements.
Implement best practices for data governance, security, and monitoring.
Stay updated with industry trends and emerging technologies in data engineering.

we are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

As a Solutions Architect, youll build relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Youll manage the overall technical relationship between us and our customers, making recommendations on software, data, security, cost, performance, reliability and operational efficiency to accelerate their business transformation. Internally, you will be the voice of the customer, sharing their needs and wants to make our value higher for our customers.

In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about our technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).

We are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

If you're passionate about both sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join the team!
We are looking for a highly motivated Senior Data Engineer.
Responsibilities:
Building a robust data collection and measurement infrastructure for the department and linked products
Taking ownership of major projects from inception to deployment.
Implementing a systematic approach for saving and managing scraper data.
Enabling efficient data access for support teams
Architecting simple yet flexible solutions and then scaling them as we grow.
Establishing a strong data framework to support the department and linked products future developments
Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.