Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
About the role
- Perception Data Engineer at ANYbotics building data pipelines for perception models in mobile robotics. Collaborating within a global team on cutting-edge robotic technology.
Responsibilities
- Build and operate the data plumbing that our perception models need: ingestion, versioned storage, ETL, labeling integration, and reliable production pipelines for training and inference.
- Design, build and maintain scalable data pipelines and ETL workflows that ingest raw images, sensor metadata, and labels (both real and synthetic).
- Implement dataset versioning, schema management, and reproducible data snapshots to support experiments and audits.
- Integrate annotation tools (CVAT / Label Studio), manage labeling workflows and quality-control tooling, and support label QA processes.
- Build data validation and monitoring checks (file integrity, label sanity, distribution drift alerts) and automate remediation where possible.
- Provide clean, ready-to-use datasets and data loaders for ML engineers; optimize data access patterns for training (sharding, caching, prefetching).
Requirements
- 3+ years engineering experience building production data pipelines or ETL systems.
- Strong Python scripting and engineering skills (pandas, pyarrow, boto3 or equivalent).
- Experience with dataset versioning or large-file management (DVC, Git-LFS, or similar) and cloud object storage (S3).
- Familiarity with annotation tooling and workflows for image data (CVAT / Label Studio).
- Basic understanding of ML training data needs (batching, sharding, augmentation integration).
- Prior work supporting computer-vision teams (image pipelines, preprocessing, TFRecord or custom dataset formats).
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
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Not specified
Degree requirement
Tech skills
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