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MP Solutions

Self-funded software solutions provider globally

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of data engineering experience.
  • Strong Python and SQL skills.
  • Experience with data versioning tools such as DVC or LakeFS, or similar tools, and pipeline orchestration tools such as Airflow or Dagster, or similar tools.
  • Understanding of machine-learning data concerns, including train/test leakage, label noise, and distribution shift.
  • Rigor in documentation and reproducibility.

Responsibilities

  • Build and maintain dataset ingestion, cleaning, and versioning pipelines for training, validation, and held-out evaluation sets.
  • Design and operate labeling workflows, including quality control and inter-annotator agreement tracking.
  • Own dataset testing, including coverage analysis, class balance, leakage detection, and dataset documentation.
  • Manage dataset versioning and lineage so every model release traces back to its exact training data.
  • Partner with data science and product engineering teams on data-sharing boundaries and formats.

About the Company

MP Solutions

Self-funded software solutions provider globally

MP Solutions is a small, self-funded team focused on delivering practical solutions to a global audience. They emphasize hands-on involvement by owners, who work closely with the team and live in the same environment to stay aligned with customers’ needs. The company’s offerings center on providing suited solutions to millions of happy users around the world. Their approach is to work directly with clients to understand problems and deliver concrete results rather than abstract plans. MP Solutions differentiates itself through owner-led, hands-on management and a tightly knit, self-funded structure that keeps the team closely aligned with customer success. The goal is to keep delivering high-quality solutions that meet real user needs and expand their global impact.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Hanoi, Vietnam
Founded
2018

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