Data Engineer

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MidHybryda·WarszawaFull-time

#479221·Dodano dziś·0

Źródło: justjoin.it

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Tech Stack / Keywords

Degree in computer science or engineeringPython SQL Apache SparkDBTLangchain Databricks

Podsumowanie oferty

Join a data engineering team in a multidisciplinary AI group, building the data foundations for AI applications, including LLM-based systems and agentic architectures. You’ll design and maintain scalable data pipelines, prepare data for AI solutions, and help take those solutions into production.

Wymagania

Degree in computer science or engineering, or equivalent experience.
At least 2 years of relevant professional experience building and deploying data solutions.
Strong Python and SQL skills, including 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 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 streaming and batch processing on major cloud platforms (AWS, Azure or GCP).
Strong verbal and written communication skills in English and Polish.
Exceptional time management in a complex, largely autonomous environment.

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.

Obowiązki

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.
Contribute to R&D on next-generation AI capabilities.

Benefity

Structured development programmes, coaching and clear, actionable feedback.
Ownership from day one, with contributions shaping what gets built.
An international, multicultural team.

Inne informacje

The role involves frequent business travel for client work.

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