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co.brick Talents sp. z o.o.
Scraped fromWorkYesterday
Data ScienceSenior

Senior Data Engineer

PythonSparkPolarsPandasScalaNlpLanggraph
Work Type
Hybrid
Job Type
Full Time
Location
Worldwide
Salary
Up to 200 PLN/h net + VAT

About the Position

We are looking for a Senior AI / Data Engineer / Data Scientist to join an international team building AI-powered solutions for large-scale web content processing, attribute extraction, and market expansion. This is a hands-on role combining data engineering, machine learning, NLP, and applied AI, where you'll design scalable data pipelines, fine-tune ML models, and contribute to the development of AI research agents operating across multiple countries and languages.

Responsibilities

  • Design, build, and optimize Spark pipelines for large-scale web content ingestion and processing.
  • Develop data processing and analysis workflows using Python (Polars and/or Pandas).
  • Fine-tune lightweight machine learning models for attribute extraction.
  • Prepare training datasets and ensure high data quality.
  • Evaluate model performance and improve ML pipelines end-to-end.
  • Apply NLP techniques to extract, classify, and reason over information from web content.
  • Expand internal AI research agents to new geographic markets and adapt them to local data conditions.
  • Develop evidence collection and reasoning logic for new place-related attributes.
  • Evaluate ML systems across different locales, languages, and data sources.
  • Improve pipeline orchestration and optimize multi-source data ingestion processes.
  • Collaborate with cross-functional international teams to deliver scalable AI solutions.

Requirements

  • 5+ years of commercial experience in Data Engineering, Machine Learning, AI, or Data Science (7+ years preferred).
  • Strong Python programming skills, including Polars and/or Pandas.
  • Commercial experience with Spark (Scala is a strong plus).
  • Hands-on experience building and optimizing large-scale data pipelines.
  • Experience with NLP and fine-tuning lightweight machine learning models.
  • Good understanding of data quality, model evaluation, and ML performance metrics.
  • Familiarity with agent frameworks, especially LangGraph.
  • Experience adapting AI/ML solutions across multiple countries, languages, or data domains.
  • Experience with pipeline orchestration and large-scale data processing.
  • Strong analytical mindset, ownership, and problem-solving skills.
  • Comfortable working in a dynamic, international environment.

Benefits

  • B2B contract
  • Up to 200 PLN/h net + VAT
  • 2-week onboarding in Malmö, Sweden fully covered by the client
Senior Data EngineerUp to 200 PLN/h net + VAT
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