Data Engineer - Foundational
ParisFull-timePosted 7mo ago
About the role
Data Engineer on the Foundational team responsible for building high-performance data infrastructure to power foundational models, managing terabytes to petabytes of raw, unstructured video data (EO and IR) and enabling efficient ML workloads.
Responsibilities
- Multi-Modal Ingestion Pipeline: Build ETL/ELT pipelines to extract, decode, and store raw Electro-Optical (EO) and Infrared (IR) video from field logs into highly optimised formats like WebDataset, TFRecords, or Parquet.
- Sensor Synchronisation & Alignment: Develop algorithms to programmatically synchronise EO and IR frames temporally and spatially to provide paired inputs for model training.
- High-Throughput Data Loading: Architect storage-to-GPU pipelines to ensure multi-node training clusters maintain >90% GPU utilisation without I/O bottlenecks.
- Distributed Processing: Write and optimise distributed data processing jobs using tools like Apache Spark, Ray, or Apache Beam to process thousands of hours of tactical video logs.
- Data Quality & Versioning: Implement automated quality checks to filter corrupted or blank frames and maintain 100% reproducible training runs through robust versioning and lineage tracking.
- Infrastructure Evaluation: Assess and implement advanced storage solutions (e.g., MinIO, S3 tiering) to manage growing datasets while optimising for cost and latency.
Qualifications
- BS or MS in Computer Science, Software Engineering, or Distributed Systems preferred; deep knowledge of operating systems, networking, and parallel computing.
- 5-6+ years of experience building and maintaining terabyte-scale pipelines for unstructured data (video, images, or point clouds).
- Proven track record of maximising multi-node GPU utilisation and optimising data loaders for frameworks like PyTorch or JAX.
- Strong command of distributed computing tools (Spark, Ray, Beam) and ML data versioning tools (DVC, Apache Iceberg, or Pachyderm).
- A systems-thinker who thrives in a fast-paced startup environment and treats messy data as an engineering problem solvable via automation.
- 100% dedication to Harmattan AI’s mission of providing a defensive edge to allied nations through ethical, high-impact technology.
Skills
Required:ETL/ELT pipeline designMulti-modal data synchronizationHigh-throughput data loadingDistributed processingData quality & versioning
Nice to have:Storage solutions
Last updated Jul 15, 2026. Interested? Apply on the company site.
About Harmattan AI
Building the Future of Autonomous Warfare.
Building the Future of Autonomous Warfare.
Autonomous WarfareUASPayloadCounter-UAS
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