Senior Data Engineer

6 days ago

Tel Aviv, Tel Aviv, Israel Kela Technologies Full time ₪120,000 - ₪180,000 per year

Kela is a defense technology startup pioneering next-generation command & control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact.

We are looking a talented and experienced Senior Data Engineer.  As a Senior Data Engineer, you will own the design and implementation of Kela's data backbone, responsible for how mission-critical data is ingested, stored, processed, and made accessible for both operational and AI-driven use cases. You will design pipelines and data lake architectures that span multimodal sensor data (video, radar, RF, telemetry, etc.), enabling both real-time mission applications and large-scale AI experimentation.

This role is highly cross-functional: you will collaborate with algorithm teams, product, DevOps, and system engineers to ensure data infrastructure seamlessly supports battlefield deployments, MLOps workflows, and edge inference.

Responsibilities:

  • Design, optimize, and maintain data structures and storage/access patterns across on-prem, edge, and Kubernetes-based deployments.
  • Build scalable Extract / Load / Transform pipelines (ELT/ETL) for multimodal data, ensuring efficient throughput and resilience under bandwidth constraints.
  • Architect and operate data lake solutions for storage and querying of large-scale, multimodal datasets (structured, semi-structured, unstructured).
  • Build and maintain tooling for AI model training, evaluation, and deployment including on-prem experimentation and edge inference pipelines.
  • Partner with algorithms, product, and DevOps teams to establish robust data engineering standards across the company.
Requirements

Requirements:

  • Experience designing and scaling data lakes (Iceberg, Delta, or equivalent) and query engines (e.g. Snowflake, Athena, BigQuery).
  • Expertise in designing and operating ELT/ETL pipelines
  • Strong proficiency in Python for production-grade pipelines and services
  • Strong SQL skills and experience with analytical & vector databases

Preferred Qualifications:

  • Familiarity with DBT for data transformations and modeling
  • Hands-on experience with Kubernetes and containerized deployments
  • Experience with MLOps frameworks (e.g., MLflow, Kubeflow, Airflow orchestration)
  • Exposure to multimodal sensor data (EO/IR, radar, RF, GPS, IMU, LiDAR)
  • Background in defense, aerospace, or other mission-critical systems

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