Join a data engineering team inside a multidisciplinary AI group. You'll build the data foundations that power AI applications, including LLM-based systems, retrieval, workflows and agentic architectures. This role is based in Warsaw, hybrid, and involves frequent business travel.
The role You'll design and maintain scalable data pipelines, manage secure data environments and prepare data for AI-driven systems. You'll work in cross-functional Agile teams alongside data scientists, machine learning engineers and domain experts, and partner with stakeholders from data owners to executive sponsors. You'll also contribute to R&D on next-generation AI capabilities.
What you do Build:
design and maintain scalable, reproducible data pipelines for machine learning, agentic and autonomous AI systems.
Prepare:
assess data landscapes, apply data quality fundamentals and prepare data for AI solutions, including embeddings and vector search.
Engineer:
turn simple hypotheses into engineered features and build reliable data platforms.
Deliver:
work with stakeholders and internal teams to take AI solutions into production, and grow your skills as a technologist who engages directly with the business.
What you bring Must-haves
Degree in computer science or engineering, or equivalent experience
2+ years of relevant professional experience building and deploying data solutions
Strong Python and SQL, with experience writing robust, production-grade code and deploying it across environments
Experience building end-to-end data pipelines and platforms for agentic AI, generative AI, machine learning or business intelligence, using modern frameworks such as Spark, dbt or LangChain
A solid foundation in system design, data storage and reliability, with platforms such as Databricks, Snowflake, BigQuery or PostgreSQL, and tools such as Pandas, Spark or dbt
Experience with structured and unstructured data, and with both streaming and batch processing, on major cloud platforms (AWS, Azure or GCP)
Strong communication skills, both verbal and written, in English and Polish
Exceptional time management in a complex, largely autonomous environment
Willingness to travel frequently for client work
Nice to have
Hands-on experience with MLOps or LLMOps, including CI/CD for data workflows, automated agent evaluation (such as LangSmith, Opik or Langfuse) and infrastructure as code (such as Terraform)
Commercial, client-facing or senior stakeholder management experience
Experience using coding agents such as Cursor, Claude Code or Codex
What we offer
A learning culture with structured development programmes, coaching and clear, actionable feedback
Real ownership from day one: your ideas and contributions will shape what gets built
An international, multicultural team
A competitive salary based on your location, experience and skills, plus a comprehensive benefits package for you and your family
Data Engineer in Warsaw – pracodawca: TechTree
TechTree to doskonały pracodawca, który oferuje elastyczne warunki pracy w modelu zdalnym, co pozwala na zachowanie równowagi między życiem zawodowym a prywatnym. Nasza kultura opiera się na współpracy i zaufaniu, a pracownicy mają możliwość ciągłego rozwoju dzięki różnorodnym szkoleniom i wsparciu w realizacji celów zawodowych. Dołączając do nas, stajesz się częścią dynamicznego zespołu, który dąży do sukcesu klientów poprzez innowacyjne podejście do rekrutacji.
