דרושים » תוכנה » Senior Data Engineer

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.

Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

We are seeking a hands-on Data Engineering Team Leader to oversee our real-time data domain and lead the evolution of our data platform as it transitions from a heavy build-out to stability, quality, and scale.

This role is responsible for maintaining, hardening, and extending our event processing infrastructure, focusing on adding targeted real-time processing capabilities to support analytics and informed decision-making, our decisions are deeply data-driven. This critical role is centered on maintaining, hardening, and extending our event processing infrastructure, with a primary focus on adding targeted real-time processing capabilities. Your work will directly support our analytics and enable informed, data-driven business decision-making based on production data. Specifically, you will be responsible for the core data component of capturing the clickstream events from the website, which is the foundational functionality for all our analytics.

Looking forward, this role will help lead the team into its next phase: improving data quality and developer experience, investing in modern table formats (Iceberg), empowering analysts and data scientists, and continuously reducing cost and operational friction.

This is a player-coach role, combining hands-on technical leadership with ownership, prioritization, and mentorship.

What You'll Do
Own the end-to-end real-time and event data domain, including ingestion, processing, and downstream consumption.

Ensure stability, correctness, and observability of existing streaming and near-real-time pipelines.
Lead the design and implementation of select real-time processing components to support analytics and decision-making use cases.
Define clear ownership, SLAs, and best practices for event data usage across the company.
Lead the teams investment in modern data infrastructure
Drive architectural decisions with a long-term view on maintainability, cost, and scalability.
Team Leadership & Execution

Lead, mentor, and support a team of data engineers; set technical standards and review designs and code.
Act as a hands-on contributor in critical areas of the system.
Own planning and prioritization, balancing new investments with platform stability and technical debt.
Promote a culture of quality, documentation, and operational excellence.
Partner with Data Analytics and Data Science teams to improve data accessibility, trust, and self-service capabilities.
Improve observability across the data platform (data quality, freshness, lineage, failures).
Explore and adopt AI-assisted development tools to improve engineering velocity and code quality.
Stay current with emerging technologies in data engineering and analytics, and evaluate their relevance to the platform.

We are looking for an experienced Cloud Data Presales professional who helps customers understand the possibilities of big data, analytics, AI, and ML across EMEA. As a Data Presales, you will be the first point of contact for the customer regarding data, and you will be responsible for defining the right data strategy for them. As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.

Responsibilities:
Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the data practice.

we are looking for a skilled Data Center Engineer to join our Lab team. The ideal candidate will be responsible for maintaining, monitoring, and optimizing our data center environments to ensure high availability, resiliency, and performance. This role involves hands-on technical work, troubleshooting hardware and network issues, and collaborating with cross-functional teams to support mission-critical systems. You will report to the Lab Manager.
Key Responsibilities
Data Center Operations
Perform installation, configuration, and maintenance of servers, network equipment, storage systems, and cabling.
Monitor facility systems, including power, cooling, fire suppression, and physical security.
Conduct routine inspections to ensure environmental and operational stability.
Manage data center capacity planning (space, power, cooling).
Hardware & Infrastructure Support
Troubleshoot and resolve hardware failures for servers, routers, switches, and other equipment.
Coordinate with vendors for RMA processes and hardware lifecycle management.
Perform firmware upgrades and hardware refresh activities.
Network & Systems Support
Support deployment and maintenance of network infrastructure (LAN/WAN, routing, switching).
Assist with installation and configuration of OS and virtualization technologies (Linux, VMware, Hyper-V, etc.).
Work with IT/security teams to ensure compliance and secure configuration of data center assets.
Monitoring & Incident Response
Monitor systems and respond to alerts to ensure uptime and SLA adherence.
Maintain accurate documentation of incidents, configurations, and procedures.
Process & Documentation
Follow and improve standard operating procedures.
Maintain asset inventory, rack diagrams, and documentation.
Support audits and compliance requirements.

Required Senior Data Engineer
Full-time
Company Description
A dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.
Job Description
Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.
Additional Information
Location: Ra'anana
Start Date: Immediate.

We seek a skilled Senior Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.
Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Example Projects

Researching and running POCs of new technologies to select the optimal solution for system requirements.

Migrating massive amounts of user-level data into Iceberg, while keeping scale and cost efficiency in mind.

Designing and implementing a robust pipeline capable of ingesting billions of real-time events daily (hundreds of thousands per second).

Exploring and choosing database and streaming technologies to support a rapidly growing clientele base.

Leading the design and development of a new streaming ETL product with low memory footprint and efficient processing.


Key Responsibilities

Design and build scalable pipelines processing billions of events daily.

Dive deep into infra technologies and optimize them at scale.

Lead major efforts from idea initiation → design → implementation.

Tackle complex challenges in scalable architecture within our AWS environment.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.