Senior Data Engineer at Kela Technologies

, , Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lakes, ETL, Python, SQL, Kubernetes, MLOps, Multimodal Sensor Data, AI Model Training, Data Engineering Standards, Data Structures, Data Storage, Data Processing, Data Pipelines, Edge Inference, Command & Control Systems, Defense Technology

Industry

Software Development

Description

Description 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

Responsibilities

As a Senior Data Engineer, you will design and implement Kela’s data backbone, focusing on the ingestion, storage, processing, and accessibility of mission-critical data. You will collaborate with various teams to ensure the data infrastructure supports battlefield deployments and AI-driven use cases.