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Required Data Engineer
Full-Time
Tel Aviv
Who are you?
You are a seasoned Data Engineer with a deep understanding of data modeling, massive parallel processing (in both realtime and batch) and bringing Machine learning capabilities into large-scale production systems. You have experience at a cutting edge startup and are passionate about building the data infrastructures that fuels the worlds first intelligent agent. You are a team player with excellent collaboration, communication skills and a can do approach
What youll be doing?
Build, maintain, and scale data pipelines for both batch and real-time data processing across multiple sources and ecosystems.
Design and implement robust APIs and integrate diverse data systems to support data collection and aggregation.
Develop and manage advanced data architectures, including lakehouses, streamhouses, and data warehouses.
Collaborate with data scientists and other stakeholders to implement effective data solutions and integrate large language models (LLMs) into our systems.
Work with cross-functional teams to define business needs and translate them into technical implementations that leverage your deep understanding of data architectures and software engineering best practices.
Develop and lead initiatives to manage, monitor, and debug data systems, enhancing their reliability, efficiency, and overall quality.

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'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 data processing and analysis.
Build and maintain robust data acquisition systems to gather, process, and store data from various sources.
Work closely with DevOps engineers, Data Science and Product teams to understand their requirements and provide data solutions that meet business objectives.
Proactively monitor data pipelines and production environments to identify and resolve issues promptly.
Implement best practices for data security, integrity, and performance.
Mentor and guide junior team members, sharing expertise and fostering their professional development.

We are seeking a highly skilled and experienced data scientist to join our data group and play a key role in the development of our product.
The ideal candidate will have a strong background in data analytics, machine learning, and cyber security, and will be responsible for analyzing large sets of data generated by critical infrastructure systems to identify potential threats and vulnerabilities.
Responsibilities:
Conduct hands-on research and development of cutting-edge models
Take research projects from ideation to deployment and production
Work closely with domain experts and the engineering department to improve and create new innovative solutions.
Help define the AI product roadmap.

We are seeking an adept Senior Data Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
You will play a pivotal role in developing pipelines to efficiently extract, transform, and load massive volumes of data.
Your expertise will contribute to the creation of a scalable, high-performance data lake that serves as a foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable designs.
Responsibilities:
Be a significant part of the development of data pipelines to efficiently extract, transform, and load vast volumes of data.
Architect and build a scalable, high-performance data lake that supports various services within the platform.
Translate intricate requirements into meticulous design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement data-warehousing and data-modeling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong data engineering practices.
Utilize your experience with streaming frameworks, such as Kafka, to handle real-time data processing.
Employ your familiarity with industry-standard visualization and analytics tools, like Tableau and R, to provide insightful data representations.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks.
Solve complex problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

we are seeking a skilled Data Scientist to join our dynamic team.
As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.
Responsibilities:
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

We're looking for a sharp and passionate Business / Product Data Analyst to join us to the product team.
Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers, to understand how users interact with our products, and provide insight regarding new ideas to implement.
Responsibilities:
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business and product decisions.
Plan and analyze effective A/B tests in order to improve business KPIs.
Build reports and dashboards to monitor product performance, key business metrics and user experience.

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 Data Engineering Team Lead to join our in-house infrastructure group and play a pivotal role in contributing to the companys on-going success Come join us!
What You Will Do:
First, you will design a data pipeline architecture for obtaining, storing, ingesting, and routing large-scale amounts of data from various sources worldwide, both proprietary and commercial, in a distributed manner.
You will handle real time and vast data feeds which need to be accurately timestamped and recorded without congesting the network.
You will then lead a team of engineers to implement, maintain and consistently enhance the data pipeline, evaluate different data providers based on accuracy, cost, and richness, keep track of changes, monitor the quality of data sources, and suggest new ways to optimize storage and reduce latency.
Your Impact:
Conceiving innovative and novel ideas in all stages of the ETL pipeline.
End-to-end ownership POC, design, development cycles, deployment, and support.
Creative thinking using state of the art tech stack.

We're looking for a dedicated Senior Data Scientist to join our office in Tel Aviv to be a key player in success.

On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more.

You'll be alternating between individual projects and team efforts, and you will:

Plan bee-hive and crop-pollination in-field data acquisition

Build predictive models and algorithms from this data

Develop processes and tools to monitor and analyze model performance and data accuracy.

Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

We are looking for a passionate analytics team lead to join our fast-growing analytics department. Using your analytical skills and leadership abilities, your mission will be to guid a team of analytics experts, help them to tell the story behind numbers, and translate data based insights into actionable business recommendations.

Responsibilities:
Lead, manage and motivate a team of business analysts, to help the company improve its business performance.
Consistently monitor the company KPIs and raise flags if needed.
Set the standard for best practices in the analytics world. Suggest new methodologies, processes and tools to analyze large data sets.
Work closely with the different business units, measure and identify hidden opportunities.
Take a key role in the companys decision making process, by leveraging data into business actions.
Initiate and lead a data driven culture.

We are seeking a talented Data Engineer Team Lead to join our dynamic team. The successful candidate will play a crucial role in leading the Data Engineering team, ensuring compliance with FUSA requirements and ISO266262 certification. Additionally, this role involves leading the development of Data Engineering infrastructure and tools, coordinating technical work, and managing personnel to drive the success of our data engineering team.

Required Senior Data Engineering
We are looking for a talented and experienced Data Engineer to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
Monitor and optimize data pipelines for performance, reliability, and data quality.
Implement and manage data storage solutions, including relational databases, data warehouses, and NoSQL databases.
Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
Identify and resolve data quality issues, including data cleansing, standardization, and validation.
Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.

We are looking for an exceptional Data Engineering Team Lead who is passionate about architecting, building, and maintaining data infrastructure from the ground up.
Responsibilities:
Build and maintain the companys central data platform.
Own the data architecture: ETL, Pipelines, Databases, Data integrations, and more.
Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers and product managers.
Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
Provide expert-level technical leadership and mentoring to the team.
Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
Establish data infrastructure for the Data Science team.

We are seeking an experienced and motivated Analytics Team Lead to join our dynamic team in LATAM. The Analytics team is responsible for the Product and Marketing analytics domains, driving data-driven insights that optimize our sports, casino, and customer experience (CX) offerings and shaping our marketing strategies for acquisition and retention and driving business growth through data-driven insights. You will work closely with cross-functional teams to influence product strategy, enhance user experiences and optimize marketing campaigns effectively .
Responsibilities:
Manage and lead a team of analysts, fostering a collaborative and innovative work environment. Provide mentorship, coaching, and professional development opportunities for team members. Set clear goals and expectations, and regularly assess team performance.
Develop and execute a comprehensive analytics strategy aligned with business objectives. Collaborate with stakeholders to define key performance indicators (KPIs) and metrics, Identify opportunities for improving data collection, analysis, and reporting processes.
Conduct in-depth analysis of user behavior, trends, and performance data to identify opportunities and challenges. Analyze marketing campaign performance, customer behavior, and market trends to provide actionable insights to stakeholders. conduct deep-dive analysis to optimize marketing initiatives. Translate data findings into actionable insights and recommendations to improve product offerings.
Work closely with product managers to influence product roadmap decisions and localized configurations based on data-driven insights. Monitor product performance and make data-backed recommendations for enhancements and optimizations.
Create and maintain comprehensive dashboards and reports to track product performance and communicate insights to stakeholders. Ensure data accuracy and integrity in reporting processes.
Collaborate with marketing, development, and customer experience teams to align analytics efforts with broader business goals. Provide data-driven support for A/B testing, user segmentation, and customer journey analysis.
Stay current with industry trends, emerging technologies, and best practices in product analytics. Identify opportunities to enhance data collection methods and tools.