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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lakes, ETL, Python, SQL, Kubernetes, MLOps, Multimodal Sensor Data, Data Engineering Standards

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 for 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: 2-5 years of experience in 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, geospatial, IMU, LiDAR) Background in defense, aerospace, or other mission-critical systems

Responsibilities

Design and implement Kela’s data backbone, focusing on data ingestion, storage, processing, and accessibility. Collaborate with cross-functional teams to ensure data infrastructure supports operational and AI-driven use cases.