Data Engineer

Electro Optic Systems (EOS) is at the forefront of defence and space technology innovation. With the recent acquisition of MARSS , EOS has expanded its expertise in AI-enabled surveillance and security solutions, enhancing its ability to deliver integrated, mission‑critical systems to customers globally.

Position Overview

The Data Engineer plays a key role in advancing MARSS’s machine learning capabilities by building and maintaining robust data pipelines across distributed environments. Working closely with AI engineers, software teams, and field deployments, you will ensure data integrity, availability, and usability for advanced analytics and modelling. This role is critical in enabling high‑quality data to power real‑world AI systems operating in complex, mission‑critical environments.

Responsibilities

• esLead the design and implementation of scalable data collection pipelin
• esEnsure reliability, completeness, and performance of data recording systems across deploymen
• tsManage and organise large-scale, distributed datasets across multiple sit
• esDevelop and maintain structured data storage solutions and databas
• esMonitor and maintain data integrity and system health across environmen
• tsSupport and coordinate data annotation workflows and tooli
• ngExtract and analyse metadata insights such as system usage, anomalies, and performance indicato
• rsPrepare datasets for machine learning applications, including classification, tracking, and predicti
• onEnsure compliance with data regulations across multiple jurisdictio
• nsCollaborate with cross‑functional teams to improve data accessibility and usabili

Education and Experience

• nceBachelor’s degree in Engineering, Computer Science, or related fi
• eldStrong experience with Python, Bash, and containerisation (Docker, Docker Compo
• se)Advanced SQL skills with experience designing and managing structured datas
• etsProven experience handling large‑scale or distributed data syst
• emsExperience working in Linux environme
• ntsFamiliarity with data pipeline design and data lifecycle managem
• entExposure to machine learning workflows or frameworks (e.g., TensorFlow, PyTorch) is advantage
• ousMaster’s or PhD in a relevant field is a p

Skills and Attributes

• utesHighly organised with strong attention to de
• tailStrong problem‑solving skills in complex, real‑world environm
• entsAbility to work independently and manage competing priori
• tiesComfortable working with imperfect or incomplete data sou
• rcesStrong collaboration skills across technical and non‑technical t
• eamsAdaptability in fast‑paced, evolving environm
• entsSystems‑thinking mindset with a focus on reliability and perform
• nmentSmall, agile, high‑performing
• teamsCollaborative and multicultural enviro
• nmentExposure to complex, real‑world systems and chall
• engesCross‑functional work across engineering, delivery, and commercial
• teamsFast‑paced, project‑based environment requiring adaptab
• ilityOpportunity to work on mission‑critical solutions in demanding environ

Why Join

• in Us?High‑performance culture with experienced lead
• ershipWork on technically complex, high‑impact AI and data pr
• ojectsOpportunity to build systems operating in real‑world, mission‑critical enviro
• nmentsStrong career development and growth opportu
• nitiesCollaborative and international team envir