דרושים » דאטה » Data Engineer

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.
You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.
Responsibilities:
Design, build, and maintain data pipelines and data models to support analytics and reporting needs
Work with structured data across databases, data lakes, and data warehouses
Write efficient and maintainable SQL and Python code for data transformation and validation
Ensure data quality, consistency, and basic data lineage across systems
Collaborate with Product, Engineering, and business stakeholders to understand data requirements
Support dashboards and reporting tools by providing clean, well-modeled data
Contribute to improving data standards, documentation, and best practices

What youll do:
Take full ownership, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into analysis and optimization of performance, scalability, and stability. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

we are expanding, seeking an experienced Data Engineer for challenging work in the world of Big Data.
Design, develop & maintain the BIG DATA platform (SingleStore/Vertica).
Design, develop & maintain the BIG DATA infrastructure (development, monitoring, installation, integration, etc)
Be part of the dynamic and agile core DBA team.
Collaborate with field engineers for the deployment phases.
Work on major, challenging projects with enterprise and startup customers.
Job location - Herzliya, Israel.