Data Engineer

Gtm Week; Warszawa; Hybrid; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Learning culture

Ownership from day one

International team

Competitive salary & benefits

Job summary

TechTree is building a data engineering team within a multidisciplinary AI group in Warsaw. The role is hybrid and requires frequent business travel, contributing to data foundations for AI applications and LLM-based systems.

You will design scalable data pipelines, maintain secure data environments and prepare data for AI-driven systems, collaborating with data scientists, ML engineers and domain experts. Responsibilities include building reproducible pipelines, preparing data for embeddings

Qualifications

• 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 production-grade code.
• Experience building end-to-end data pipelines for agentic/AI/ML or BI using Spark, dbt or LangChain.
• Foundation in system design, data storage and reliability with Databricks/Snowflake/BigQuery/PostgreSQL and tools like Pandas/Spark/dbt.
• Experience with structured and unstructured data and with streaming and batch processing on AWS/Azure/GCP.
• Strong communication in English and Polish.
• Willingness to travel frequently for client work.

Responsibilities

• Design and maintain scalable data pipelines for AI-driven systems.
• Prepare data landscapes and data quality for AI solutions including embeddings and vector search.
• Turn hypotheses into engineered features and build reliable data platforms.
• Deliver AI solutions into production and collaborate with stakeholders.

Skills

Python

SQL

Data pipelines

Cloud platforms

English & Polish comms

Education

Degree in Computer Science or Engineering

Tools

Databricks

Snowflake

BigQuery

PostgreSQL

Pandas

Spark

dbt

LangChain

Job description

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