Data Engineer (All Genders)

Stark Defence; München; Hybrid; EUR 75,000 - 110,000; Full time

Job summary

Stark Defence is seeking a Data / Software Engineer to own end-to-end data pipelines for its autonomous defence systems. You will capture, process, and analyze telemetry, sensor, and video data across multiple product lines, building scalable architectures and high-performance internal tools.

You will collaborate with hardware, embedded, and software teams to define data models, telemetry interfaces, and data schemas while ensuring real-time processing and robust CI/CD practices.

Qualifications

• Minimum 3+ years of experience in data/software engineering roles.
• Proficiency in Python, Rust, or Go for data-intensive systems.
• Hands-on experience building scalable data pipelines and processing large telemetry streams.
• Knowledge of relational and non-relational databases and object storage.
• Experience with cloud platforms (AWS/Azure/GCP) and CI/CD workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines for real-time telemetry, sensor, and video data.
• Develop automation frameworks and internal tooling to streamline data workflows across Stark programs.
• Architect cloud infrastructure and data storage for high availability and low latency.
• Collaborate with hardware, embedded, and software teams to define data models and telemetry schemas.
• Optimize data processing for high throughput and memory efficiency in mission-critical environments.
• Implement data quality, monitoring, and alerting to detect anomalies and incidents.
• Maintain code quality with unit tests and CI/CD practices.

Skills

Python

Rust

Go

Data pipelines

Cloud platforms

CI/CD tooling

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.

We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.

Why Join Us?

• The software and systems you work on directly protect personnel and defend European and national sovereignty.
• You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.
• We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.

About the Team

Our Data & Analytics team will provide critical cross-functional support across all STARK defence programs. We build robust infrastructure, tools, and data pipelines that ingest and process massive streams of telemetry, sensor, and video data from our autonomous systems. Working in a collaborative and fast-paced engineering environment, our mission is to empower software, hardware, and operational teams with clean, reliable, and real-time data.

Your Mission

As a Data / Software Engineer, you will own the end-to-end data pipelines and tooling supporting STARK's autonomous defence systems. You will design, build, and optimize scalable data architectures to capture, process, and analyze complex telemetry, sensor, and video data across multiple product lines. By automating data flows and creating high-performance internal tools, you will enable rapid decision-making, testing, and continuous deployment across all engineering teams.

Responsibilities

Design, build, and maintain scalable, reliable data pipelines for real-time ingestion and processing of telemetry, sensor, and video data.

Develop robust automation frameworks and internal tooling to stream data workflows across cross-functional STARK programs.

Architect cloud infrastructure and data storage solutions leveraging AWS, Azure, or GCP to ensure high availability and low latency.

Collaborate with hardware, embedded, and software engineering teams to define data models, interface specs, and telemetry schemas.

Optimize data processing pipelines for high throughput, memory efficiency, and sub-second execution in mission-critical environments.

Implement comprehensive data quality, monitoring, and alerting systems to proactively detect anomalies and operational issues.

Maintain rigorous software engineering standards, including unit testing, CI/CD practices, and clear technical documentation.

Required Skills

Minimum 3 + years of experience in similar relevant roles

Strong proficiency in modern programming languages such as Python, Rust, or Go.

Demonstrated hands‑on experience building scalable data pipelines and data processing systems.

Knowledge of relational and non-relational database systems, as well as object storage.

Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures.

Proven track record of working with high-volume telemetry, sensor data streams, or video data processing.

Experience creating developer tooling, CLI utilities, and automated CI/CD workflows.

Strong problem‑solving mindset and solid foundation in software engineering and distributed systems.

Nice-To-Have

Knowledge of machine learning and data science related concepts and applications.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with defense, aerospace, or robotics domain applications.

At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities.

Security Clearance:

Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.