לוח משרות דרושים Senior BigData Developer

Were looking for a hands-on, delivery-focused Team Lead to build and lead a full stack data oriented team responsible for developing our DEX platform. You will drive execution excellence, enforce engineering standards, and collaborate cross-functionally with product, infrastructure, and other teams to deliver high-quality, production-ready platform that scale.
Youll be joining a growing R&D group with strong technical talent, high delivery standards, and clear leadership support. Youll have the opportunity to shape your teams direction, build impactful infrastructure, and work closely with cutting-edge initiatives and technologies.
How Youll Spend Your Day
Team Leadership
Guide and mentor a team of full stack engineers, promoting accountability, ownership, and technical growth
Drive a culture of proactive communication, quality-first mindset, and collaborative problem-solving
Manage delivery timelines and expectations with strong focus on predictability and transparency
Planning & Execution
Ensure features are well-scoped, designed, and reviewed
Own the planning process: dependency management, early risk identification, and cross-team alignment
Lead sprint ceremonies effectively, with clear goals, action items, and follow-ups
Technical Excellence
Own high-level and detailed designs for team-delivered features
Ensure thorough design and PR reviews that align with architectural and security standards
Enforce coding best practices, testing, documentation, and observability
Cross-Team Collaboration
Work with PMs, infra, automation, and other teams to build scalable platform features
Align on feature requirements, UI standards, and integration contracts
Quality & Ownership
Ensure all deliveries meet definition of done: tested, documented, production-ready
Oversee E2E testing, internal and cross-team, as well as production rollout readiness

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

We are looking for a talented Senior Big Data Developer.
Join a core team of experts responsible for developing innovative cyber-attack techniques for Cloud-based environments (AWS, Azure, GCP, Kubernetes) that integrate into our fully automated attack simulation.
This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Node.js (JS/Typescript) with MongoDB, Redis, Kafka, Dockers and Flink (Big Data Stream Processing)
If you are up for the challenge and you have the X factor, come and join us!