Data Engineer / Data Scientist (AI / NLP)

Quick Facts

• Contract: B2B

• Duration: until 30 September 2026 (possible extensions)

• Start date: ASAP

• Rate: up to 220 PLN/h (net) + VAT

• Work model: hybrid (3 days onsite from Warsaw or Krakow, 2 days remote)

• Onboarding: 2 weeks in Malmö (fully covered)

• FTE: full-time (part-time can be discussed)

Description

You will work on an AI / Data Engineering project focused on building and improving AI-driven data solutions for large-scale web content processing, attribute extraction, and market expansion. The role combines data engineering, machine learning, and applied AI: you will design, build, and evaluate data pipelines, fine-tune lightweight ML models, and support internal AI research agents used across geographic markets and data domains.

Responsibilities

• Build and optimize Spark pipelines for large-scale web content ingestion and processing

• Use Python (including Polars and/or Pandas) for data processing, analysis, and pipeline development

• Fine-tune lightweight ML models for task-specific attribute extraction

• Prepare training data, manage data quality, and evaluate model performance end-to-end

• Apply NLP techniques to extract, classify, and reason over information from web content

• Expand an internal AI research agent to new geographic markets and adapt logic to local data conditions

• Support evidence collection and reasoning logic for new place-related attributes

• Evaluate ML systems across locales, domains, and data sources

• Work on pipeline orchestration, optimization, and multi-source ingestion processes

• Potentially use Scala and Spark in data engineering tracks

Requirements

• Strong Python skills, especially with Polars and/or Pandas

• Experience with NLP and fine-tuning lightweight ML models

• Practical experience designing, building, and evaluating data pipelines

• Experience with Spark and ideally Scala

• Familiarity with agent frameworks, especially LangGraph

• Understanding of data quality, model evaluation, and performance measurement

• Ability to adapt ML/data solutions to different countries, languages, and data domains

• Experience with pipeline orchestration and optimization for large-scale data ingestion

• Hands-on, problem-solving mindset and ability to work in a fast-moving environment

Benefits

• Hybrid work from Warsaw or Krakow (3 days onsite, 2 days remote)

• Two-week onboarding in Malmö (fully covered)

• Rate up to 220 PLN/h (net) + VAT

• Full-time B2B contract until 30 September 2026 (possible extensions)