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

We are a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with us is basically guaranteed.

Responsibilities
We are a team of technophiles who hate latency. As a member of our team, you will need to:
Develop and maintain systems that can process complex requests within a few milliseconds.
Tackle advanced engineering challenges in multiple languages and environments.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other teams.

As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.

Responsibilities:
Develop and support a wide range of data transformations and migrations.
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures.
Investigate data mismatches and apply solutions.
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.

we are looking for a Data Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
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.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our companys data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

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 our company is the place for you.
How youll make an impact as a data engineer
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 company 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.

As a Data Infra 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 our company is the place for you.
How Youll Make An Impact, As a Data Infra Enginee:
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 company 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.

As a Data Performance 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 our company is the place for you.
How Youll Make An Impact, As a Data Performance Engineer:
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 company 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.

we curate and contextualize 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 our company as we make the world a more secure place.

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

Designing, developing, and supporting new requirements from Product and from Research
Building, deploying and maintaining data infrastructure and pipelines
Building automated validation processes to ensure data integrity
Leading data investigations and escalations with other teams
Writing clear documentation

As the Senior Director of Engineering , you will lead the Agentic AI revolution within our core platform. Your primary mission is to ensure our intelligence platform is ready to power the next generation of AI agents, driving the paradigm shift from one-way campaigns to real-time, two-way conversations that maximize customer lifetime value.
Your Responsibilities Will Include:
Pioneer Agentic AI: Define the engineering vision and architecture for our autonomous AI agents, ensuring they can ingest unified marketing data, execute complex attribution, and optimize campaign spending in real-time.
Scale the Data Core: Own the design, operation, and reliability of our massively scalable, distributed data platform. Ensure seamless ingestion and processing of billions of data points from 170+ sources to build the trusted foundation for all AI initiatives.
Lead a Global R&D Team (70+): Lead and mentor an organization of approximately 70 engineers and managers globally. Cultivate a high-velocity culture defined by technical excellence, ownership, and career growth.
Drive Executive Influence: Collaborate closely with Product Management, Architects, and global leadership to translate market demands into shipping code that delivers measurable business transformation for our customers.

Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows

As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

The role consists of managing varied data solutions, databases, data processing tools, microservices, CI/CD pipelines, and cloud services on AWS cloud. You will be responsible for designing and maintaining these platforms, and get first hand experience with challenges around data, scale, architecture, creative solutions and high quality deliveries in a wide welcoming team.

Key Responsibilities:
Carry out DB administrative tasks (performance tuning, cost efficiency, observability etc..).
Design, build and enhance micro-services (Python / Java).
Promote data driven culture with CI/CD pipelines, serverless components and more.
Create and manage resources with IaC methodology (Infra as code) .
Support production systems (24/7).
Working with Data processing pipelines with external tools (e.g: AirFlow).

Join a team of skilled data engineers building sophisticated data pipelines connecting a variety of systems through streaming technologies, cloud services, and microservices.

As a Senior Data Engineer, youll play a key role in shaping the infrastructure powering our data ecosystem. Youll design, build, and maintain scalable data pipelines and automation processes, enabling reliable, efficient, and observable systems.

This is a hands-on role that combines infrastructure, data, and DevOps expertise - perfect for someone who thrives on learning new technologies, leading initiatives, and driving excellence in system design and delivery.

Responsibilities:
Design and maintain robust infrastructure for large-scale data processing and streaming systems.
Develop automation and deployment processes using CI/CD pipelines.
Build and operate Kubernetes-based environments and containerized workloads.
Collaborate with data engineers to optimize performance, cost, and reliability of data platforms.
Design and develop REST-API microservices.
Troubleshoot and resolve complex issues in production and staging environments.
Drive initiatives that enhance observability, scalability, and developer productivity.
Lead by example - share knowledge, mentor teammates, and promote technical best practices.

We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities:
Pull data from various data sources and integrate into the ETL process.
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments.
Optimize workloads to reduce cost and improve performance.
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.