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Data Engineer - Foundational

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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.
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