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

make the pursuit of creative hobbies simple and fun. Our top-grossing apps Piano, Guitar, Sing, and Draw put us on the fast track to building the worlds largest consumer subscription service, revolutionizing how people spend their time at home. With over a million monthly downloads and hundreds of thousands of daily learners worldwide, were reinventing how people engage with creative learning at home.

What Youll Be Doing:
Help improve our analytics practices by gathering better data, making it more trustworthy and accessible, and nurturing a top-grade data culture across the company.
Design, develop, scale, and optimize the data pipelines, ETLs and various data models.
Use SQL, DBT, Python and any other relevant tools and technologies.
Identify blind spots in how we use data and lead initiatives to illuminate them.
Collaborate with various stakeholders across the company to translate requirements into high-quality data pipelines and models.
We are currently rebuilding and redesigning much of our tech-stack and processes. Play a major role in designing the future data-work within the company.

We are looking for a highly skilled and experienced Data Engineering Team Lead to join our dynamic team in Tel Aviv.
In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

We are growing and are looking for a Senior Data Infra Engineer
who value personal and career growth, team-work, and winning!
What your day will look like:
Design, plan, and build all aspects of the platforms data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.

We are growing and are looking for a Senior Data Platform Engineer
who value personal and career growth, team-work, and winning!
What your day will look like:
Design, plan, and build all aspects of the platforms data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.

we are looking for a Data Engineer
What You'll Do:

Design, build, and maintain data pipelines and infrastructure
Develop and implement data quality checks and monitoring processes
Work with engineers to integrate data into our systems and applications
Collaborate with scientists and analysts to understand their data needs

we are looking for a BI Data Engineer
As a BI Data Engineer , you will play a key role in designing, developing, and maintaining scalable data solutions that generate business impact.

Key Responsibilities:

Design and implement robust data models, ETL pipelines, and data flows that support advanced analytics and reporting across the organization.
Develop new data solutions from scratch while maintaining and enhancing existing infrastructure
Partner with the Data Architect to manage and evolve Skais data architecture, ensuring it accurately reflects and supports the evolving business model.
Work closely with business stakeholders to convert complex requirements into actionable data insights that drive informed decisions.
Become a focal point for all data-related matters in the organization.

We are looking for our first dedicated Data Engineer a self-motivated and proactive professional with a strong can-do attitude and a sense of ownership. This role involves taking responsibility across all data domains within the company, working closely with our analytics and development teams to build and maintain the data infrastructure that supports business needs. This position is ideal for someone ready to independently lead data engineering efforts and make a meaningful impact.

Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL workflows using tools such as Python, dbt, and Airflow.
Architect and optimize our data warehouse to support efficient analytics, reporting, and business intelligence at scale.
Model and structure data from multiple internal and external sources (such as Salesforce, Jira, Mixpanel, etc.) into clean, reliable, and analytics-ready datasets.
Collaborate closely with our systems architect, analytics, and development teams to translate business requirements into robust and efficient technical data solutions.
Monitor and optimize pipeline performance to ensure data completeness and scalability.
Serve as a key partner and subject-matter expert on all data-related topics within the team.
Implement data quality checks, anomaly detection and validation processes to ensure data reliability.

We are building cutting-edge data solutions, primarily on BigQuery, Databricks and Snowflake and for large scale customers.
Our solutions introduce next level automations and aim for low-code/no-code platforms that allows our customers to deliver fast while we hide all the engineering complexity behind.
If you are not afraid of any engineering task, likes to build cool stuff and enjoy when customers use your craft you belong with us.

We are building cutting-edge data solutions, primarily on BigQuery, Databricks and Snowflake and for large scale customers.
Our solutions introduce next level automations and aim for low-code/no-code platforms that allows our customers to deliver fast while we hide all the engineering complexity behind.
If you are not afraid of any engineering task, likes to build cool stuff and enjoy when customers use your craft you belong with us.

a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the worlds largest security cloud, accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with .

Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. Our robust data platform and strong security modules provide immediate and secure benefits to our customers. If you're passionate about data and helping companies improve their security posture, we'd love to have you join Avalor as we make the world a more secure place.

We're looking for an experienced Engineering Manager to join our Data Applications and Platform team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:

Building, Leading, and mentoring a team of 4-7 Software Engineers, in all aspects while emphasizing personal example and hands-on capabilities
Foster an inclusive, collaborative, and high-performing team culture that supports growth and innovation
Oversee the end-to-end delivery of key data projects, ensuring they are completed on time, within scope, and meet quality standards
Collaborate with cross-functional teams to define project goals, prioritize tasks, and allocate resources effectively
Provide technical guidance and ensure that best practices are followed in solution design and implementation and monitoring, troubleshooting, of the teams microservices

We are redefining cybersecurity automation with AI-driven network defense. We are looking for a Software Engineer to help the Data Team develop the core automation engine that powers our cutting-edge security platform.
This role goes beyond simple data processingits about building a scalable, well-architecture software foundation for high-performance, cloud-native cybersecurity applications. Youll be designing and implementing robust, maintainable, and testable software components that interact with massive-scale network security data.
Responsibilities:
Design and develop scalable, modular, and maintainable software solutions for our automation engine.
Focus on code structure and software design patterns to ensure maintainability and reliability.
Strong experience with software design principles, test-driven development (TDD), and CI/CD.
Work with large-scale distributed systems in a cloud-native environment (GCP, Kubernetes, microservices).
Collaborate with security researchers, data analysts, and product teams to turn innovative security concepts into production-grade solutions.

We are a Data and innovation team operating under the CTO group. We lead cutting-edge initiatives in data technologies and strategic innovation projects.

Our mission is to explore and implement new technologies and enrich the companys internal data assets through smart collection, integration, and automation.

We move fast, work across multiple domains, and maintain a culture that values curiosity, ownership, and impact.
This is an on-site position.
Responsibilities
Take end-to-end ownership of data pipelines: from extraction (web scraping, APIs), through transformation and orchestration, to delivering accessible and valuable datasets.
Integrate new and external data sources into the companys internal platforms.
Solve real-time issues and optimize pipeline performance through smart automation.
Collaborate with cross-functional teams to improve access to high-quality, structured data.
Work on multiple projects simultaneously in a dynamic and agile environment.
Lead and contribute to early-stage innovation projects directly impacting business strategy.

We are looking for an experienced Data Engineer to join our team. In this role, you will be a critical part in developing our Secure Data Collaboration Platform. This position extends beyond traditional data engineering, incorporating key elements of backend development, including designing and implementing APIs for seamless interactions between teams.
You will work closely with data scientists, supporting their workflows by building scalable infrastructure, optimizing data pipelines, and ensuring efficient access to diverse data sources. A strong understanding of data science principles and computational frameworks is essential to succeed in this role
Responsibilities
Planning and developing infrastructure for the Data Science team (Computational Framework)
Building and optimizing distributed data pipelines
Developing and maintaining connectivity to various data sources (Relational DBs and others)
Designing and setting up APIs for cross-team integrations
Maintaining and improving the Computational Framework CI process
Delivering high-quality, well-tested code with excellent automated test coverage.

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.

Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.

Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.

As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.

As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.
In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer
Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness
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 with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers