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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a data Engineer expert with innovative thinking, initiative, and strong technological drive someone who can take a business need and turn it into a smart and precise technological solution, from ideation to implementation.
This is an independent, end-to-end role that includes responsibility for designing, planning, and implementing data solutions in a cloud environment (primarily AWS), building data infrastructure and pipelines, and providing Technical Support to clients.
Requirements:
35 years of experience in designing, architecting, developing, and implementing end-to-end data solutions.
Experience in building a data Warehouse ( DWH ) from scratch including data modeling, loading processes, and architecture.
At least 2 years of hands-on experience with AWS-based data technologies.

Experience in building and maintaining advanced data pipelines from various data sources.

Significant experience in designing, developing, and maintaining ETL processes.
Deep understanding of infrastructure, information security, and cloud architectures.
Experience working with clients/business teams including gathering requirements and leading the technological solution.
Familiarity with common BI tools such as Power BI, Tableau.
Experience with scripting/coding languages such as Python.
Ability to work independently, with attention to detail and strong initiative.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Data Analytics Engineer
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. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.
Requirements:
3+ years of experience in a data engineering role, with a proven track record of building and managing data pipelines and infrastructure.
Good understanding of data warehousing concepts such as dimensional models, database design, and data modeling
Strong business understanding and ability to analyze data
Strong proficiency with SQL for data manipulation and querying.
Hands-on experience with ETL/ELT tools (e.g., dbt, Apache Airflow)
Experience with cloud platforms such as AWS, GCP, or Azure, including data-related services (e.g., S3, Redshift, BigQuery, Data Lake, Snowflake).
Familiarity with programming languages such as Python
Knowledge of tools and frameworks for big data processing (e.g., Apache Spark, Kafka, Databricks) is a plus.
Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment
Excellent communication and interpersonal skills.
AI-savvy: comfortable working with AI tools and staying ahead of emerging trend.
This position is open to all candidates.
 
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17/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
3+ years of experience working as a BI Developer or Data Engineer
Excellent SQL skills
Python proficiency
Experience designing analytics-oriented data models and data warehouses
Experience working with data pipelines and ETL processes (e.g., Airflow, Luigi, AWS Glue, DBT)
Passionate about data with a strong analytical approach
Experience working with cloud environment services (e.g., AWS, GCP, Azure)
Bonus points:
Strong understanding of business metrics and how to translate data into actionable insights
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with data governance and data quality best practices
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.
This position is open to all candidates.
 
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22/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions to join our data group and help drive the companys core objectives.
As a Senior Technical Data Product, you will serve as the bridge between the data platforms (Data Lake, DWH) and their stakeholders - such as Risk & Compliance, Business, Product - by providing data models and solutions to support the decision-making process and Reporting.

If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the companys growth, then this is the right place for you.

What youll do: 
Leading end-to-end data projects to create analytical & data tools and solutions that empower the company.
Conduct data gathering, research, and analysis to generate insights and create solutions that address user needs.
Specifies API endpoints for data access, including authentication and rate limiting.
Describes third-party service and system integrations.
Designs and leads scalable, long-term technical solutions.
Focuses on creating adaptable and high-performance architectures.
Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.
Design, deliver, and maintain technical solutions that align with customer needs, including defining the appropriate architecture and technology stack.
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.

Location: Tel Aviv, Israel
Hybrid
Full-time
Requirements:
Who you are? 
5+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design.
Excellent verbal and written communication- High English language proficiency.
Experience in Data Warehouse solution design and modeling.
Knowledge in ETL, data streams & pipelines.
Led significant project(s) that involved various stakeholders.
High level SQL and analytics capabilities.
Working with Cloud Platform, especially with Big Query, DL, etc.

Not a must but a great advantage:
Knowledge in front end self-service tools (like: Power BI, Looker, etc.).
Background of KPI definition, building dashboards & converting data into visual insights.
This position is open to all candidates.
 
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04/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Engineer
What You'll Do:
Shape the Future of Data- Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.
Requirements:
5+ years of hands-on experience as a Data Engineer, building and operating production-grade data systems.
3+ years of experience with Spark, SQL, Python, and orchestration tools like Airflow (or similar).
Degree in Computer Science, Engineering, or a related quantitative field.
Proven track record in designing and implementing high-scale ETL pipelines and real-time or batch data workflows.
Deep understanding of data lakehouse and warehouse architectures, dimensional modeling, and performance optimization.
Strong analytical thinking, debugging, and problem-solving skills in complex environments.
Familiarity with infrastructure as code, CI/CD pipelines, and building data-oriented microservices or APIs.
Enthusiasm for AI-driven developer tools such as Cursor.AI or GitHub Copilot.
Bonus points:
Hands-on experience with our stack: Databricks, Delta Lake, Kafka, Docker, Airflow, Terraform, and AWS.
Experience in building self-serve data platforms and improving developer experience across the organization.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Data Engineer with a passion for analytics to join our growing data team! This role is ideal for someone who enjoys working across the entire data pipeline.
From data ingestion and transformation, all the way to creating analytics-ready datasets.
Youll get hands-on experience with modern tools, collaborate across functions, and help deliver data-driven insights that shape key decisions.
Youll be part of a supportive team, where mentorship, impact, and learning go hand in hand.
Responsibilities
What Youll Do:
Design, develop and maintain end-to-end data pipelines: extract raw data from sources such as MongoDB, MySQL, Neo4j, and Kafka; transform and load it into our Snowflake data warehouse.
Contribute to data modeling and data quality efforts to ensure reliable, analytics-ready datasets.
Collaborate with analytics, engineering, and business teams to understand data needs and translate requirements into actionable data solutions.
Enable data-driven decisions by building dashboards and reports using tools like dbt and AWS QuickSight.
Learn and grow in both the technical and business-facing sides of data.
Requirements:
13 years of experience in a data-related role (data engineering, analytics engineering, BI) or strong projects/coursework if you're just starting out.
Strong experience with SQL and Python for building, manipulating, and analyzing data
Comfortable with modern data tooling such us - Snowflake, dbt, Airflow, or similar
Enthusiastic about working collaboratively with teammates and stakeholders to deliver business value from data
Strong communicator and continuous learner, ready to tackle new challenges in a fast-paced environment
Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with services like AWS Glue, Google BigQuery, or Azure Data Factory.
Hands-on experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring.
Nice to Have:
Experience with AWS or other cloud platforms.
Familiarity with streaming data (Kafka), Infrastructure as Code (Terraform), or Git-based workflows
Knowledge of SaaS analytics, especially for product or customer behavior.
Understanding of PII, data privacy, or compliance standards.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Engineer.
The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.
Requirements:
B.Sc. in Computer Science or equivalent.
4+ years of extensive SQL experience (preferably working in a production environment)
Experience with programming languages (preferably, Python) a must!
Experience working with Snowflake or with Google BigQuery
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Working closely with BI developers
Quick, self-learning, and good problem-solving capabilities.
Good communication skills and collaboration.
Process and detailed oriented.
Passion for solving complex data problems.
Desired:
Familiarity with Airflow, ETL tools, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.
This position is open to all candidates.
 
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01/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a hands-on Senior BI Analyst to drive the full business intelligence stack- from data ingestion and modeling to dashboarding and stakeholder insights. If youve led BI projects end-to-end, enjoy building scalable systems, and want to have a strategic impact, this role is for you.

This is not your typical analyst role- were looking for someone who can independently set up and scale our BI foundations while partnering closely with business, product, and engineering teams.
Youll be a one-person BI powerhouse.
About the role:
Lead the design and execution of cross-company BI initiative from concept to implementation.
Partner with GTM, product, and operations teams to define KPIs, track performance, and uncover growth opportunities.
Implement and scale BI platforms (e.g., Power BI, Tableau) and define best practices for dashboards and reporting.
Own the full data flow: from source systems to dashboards - helping ensure data quality, consistency, and accessibility.
Write optimized SQL for complex analyses, recurring reports, and data validations.
Build and maintain clean, scalable data pipelines and models in collaboration with data engineering.
Requirements:
4+ years of experience as a BI Analyst, Analytics Engineer, or Data Engineer in a B2B SaaS or high-growth environment.
Proven ability to lead end-to-end BI projects, not just participate in isolated deliverables.
Demonstrated success in delivering impactful insights and solutions based on data analysis.
Strong grasp of the modern data stack- especially dbt, Airbyte/Fivetran, and orchestration tools like Airflow.
Hands-on experience with data modeling (e.g., star/snowflake schema), SQL optimization, and data architecture.
Experience with data warehouses such as Snowflake, BigQuery, or Redshift.
Advanced proficiency in one or more BI tools (Looker, Tableau, Power BI).
Strong communication skills able to translate data into clear business insights.
Bonus Points For:
Ability to build and maintain backend data infrastructure in addition to analytical skills - a huge plus
Experience working with platforms like DataBricks or similar data lake environments.
Exposure to GTM data tooling (e.g., HubSpot, Salesforce, product analytics tools) and metrics frameworks.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Engineer to join our growing team!
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
3+ years experience in data engineering
Strong proficiency in SQL and Python
Experience with ETL tools and data warehousing solutions
Knowledge of big data technologies (Hadoop, Spark, etc.)
Experience with cloud platforms (AWS, Azure, or GCP)
Understanding of data modeling and database design principles
Familiarity with data visualization tools - Tableau, Sisense
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with version control systems (Git).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 23 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
the leading global financial news & data platform, is on the lookout for a Senior Data Engineer to join our growing data team!
In this role, you will design and develop scalable data solutions, optimize data workflows, and support critical business processes. You will work with a variety of databases and big data tools in a cloud environment, focusing on data modeling, governance, and analytics.

What youll be doing:
Design, develop, and maintain end-to-end ETL pipelines, from gathering business requirements to implementation.
Work with multiple database technologies, especially BigQuery.
Optimize data models (DWH, fact & dimension tables, RI, SCDs) for performance and scalability.
Implement data governance best practices and maintain comprehensive documentation.
Utilize Big Data tools in cloud environments (GCP preferred).
Develop and support complex business workflows and data processes.
Design and implement monitoring systems to ensure data quality throughout the pipeline.
Workflow orchestration using Apache Airflow.
Collaborate with analysts and stakeholders to ensure high-quality data for business insights.
Support and optimize Tableau infrastructure for data visualization.
Requirements:
4+ years of experience in Data Engineering.
Strong SQL skills and expertise in BigQuery or similar databases.
4+ years of Python experience for data processing and automation.
Proven experience in designing complex business workflows and data processes.
Deep understanding of data modeling principles and best practices.
Hands-on experience with cloud-based big data tools (GCP preferred).
Must have experience with Apache Airflow for orchestrating data workflows.
Strong analytical skills with the ability to translate business needs into technical solutions.
Experience with Tableau infrastructure management is an advantage.
Excellent communication skills and ability to work cross-functionally.
Nice to have:
Familiarity with streaming data frameworks (Kafka, Pub/Sub).
If you are passionate about data, scalability, and building efficient solutions, wed love to hear from you! Apply now and be part of our data-driven journey.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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