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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.
Take part in developing agentic capabilities.
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.

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.
Take part in developing agentic capabilities.
Mentor, support, and guide junior team members, sharing expertise and fostering their professional development.
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 and be responsible for best practices in data security, integrity, and performance across all systems.

Responsibilities and Duties:

data Integration (60%)
Design, build, and maintain seamless data integrations with customers using Streams, Databases (DBs), and APIs.
Ensure efficient data mapping, transformation, and validation processes.
Optimize integration pipelines for performance and scalability.
Customer Support Issue Resolution (30%)
Troubleshoot and resolve integration or data -related issues for customers.
Act as a trusted technical advisor, helping clients optimize their data processes.
Work closely with Customer Success teams to enhance the onboarding experience and reduce time to value.
Continuous Improvement (10%)
Provide insights to enhance data integration processes, improve system efficiency, and contribute to automation efforts.
Identify opportunities to streamline workflows and implement best practices.

Now were looking for an experienced Software Engineer to join our Data team. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enabled many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 250K records/sec) in a law latency as part of a dynamic team.
Key Responsibilities:
End-to-end development of company massive data infrastructures and services.
Researching new technologies and adapting them for use in the companys product
Working closely with the product, DevOps, and security teams.

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.

Were looking for a brilliant and ambitious Data Scientist who is seeking his next challenge, with proven experience in big-data analysis, machine learning algorithms and digital signal processing. We invite you to work in a creativity oriented, vibrant and non-formal environment that will encourage you to learn, grow your research and development skills and experience while executing end-to-end algorithm development process of a unique platform aim to improve patients quality of life and survival.
Job description:
Execute statistical modeling and analysis of large data sets using ML and big-data algorithms
Perform end-to-end research and development of speech signal processing algorithms.

We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.

We are seeking a highly experienced and visionary Director, Data &
Analytics to lead our data organization. Reporting directly to the VP of Data, GRC, IT, and
Security, you will be responsible for defining and executing; data strategy, ensuring the
reliability, scalability, and impact of our data assets. You will lead five critical domains: BI
Engineering, Data Engineering, Data Platform, BI Product, and BI Labs (Data Science),
fostering a culture of data excellence, innovation, and partnership across the company.
This role requires a unique blend of deep technical expertise, strong leadership capabilities, and
a keen understanding of how data can drive business value in a fast-paced, data-intensive
environment.
What will you do?
Strategic Leadership: Develop and execute a comprehensive data strategy aligned with ' business objectives. Identify emerging data trends and technologies, and drive their adoption to maintain a competitive edge.
Team Leadership & Development: Lead, mentor, and inspire five diverse teams (BI Engineering, Data Engineering, Data Platform, BI Product, BI Labs), comprising talented engineers, analysts, product managers, and data scientists. Foster a high-performance culture, promoting continuous learning, collaboration, and career growth.
Data Engineering & Platform Ownership: Oversee the architecture, development, and maintenance of ' core data infrastructure, including data lakes, data warehouses, ETL/ELT processes, and real-time data pipelines. Ensure data quality, availability, and governance across all data assets.
Business Intelligence & Analytics Enablement: Drive the development of robust BI solutions, semantic models, and reporting infrastructure that empower business users with actionable insights.
Data Science & Advanced Analytics: Guide the BI Labs team (Data Scientists) in applying advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems, identify business opportunities, and promote AI for predictive analytics .
Cross-Functional Collaboration: Partner closely with engineering, product, R&D, sales, marketing, and finance teams to understand their data requirements, deliver impactful data solutions, and evangelize data-driven decision-making across the organization.

We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.
Key Responsibilities:
- Design and build high-scale systems and services to support data infrastructure and production systems.
- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.
- Implement dockerized high-performance microservices and manage their deployment.
- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.
- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.
- Ensure data is ingested correctly from various sources and is processed efficiently.

We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

Required Data Scientist Team Manager
A day-to-day role as a Team Manager includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are looking for a Data Scientist with deep experience in the advertising industry to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Stay on top of the state-of-the-art science and technology of large scale advertising systems
Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
Work with teams of data scientists and machine learning engineers to identify investment opportunities
Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
Spend time experimenting with new approaches by yourself
Follow industrial and academic research, occasionally publish at conferences

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.

we are a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.
If youre passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data We are looking for a talented Senior Data Engineer.
What Youll Do:
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.

Required Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary this is the place for you.
It Would Be Great If You Also Have:
In-depth Linux system knowledge
Vertica/HBase/Cassandra/Elastic Experience
Hands-on experience with NoSQL databases
Working experience with queuing systems, preferably Kafka
Experience in web facing environments
How Youll Make An Impact, As a Data Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects
Our Tech Stack
Vertica, MySQL, Hbase, HDFS, Kafka, Spark, Cassandra, BigQuery, Iceberg, ElasticSearch, Grafana.