C
co.brick Talents sp. z o.o.
Data ScienceSenior
Senior Data Engineer
PythonSparkPolarsPandasScalaNlpLanggraph
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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