Data Engineer

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NieokreśloneHybryda·WarszawaFull-time

#478319·Dodano 2 dni temu·1

Źródło: jobs.techtree.dev

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Tech Stack / Keywords

Python SQL SparkdbtDatabricks Snowflake BigQuery PostgreSQL LangChain Terraform AWS Azure GCP

Podsumowanie oferty

Build data foundations and pipelines that power AI applications, including LLM-based systems and agentic architectures. Work on data preparation and platforms for these systems using Python, SQL and tools such as Spark and dbt.

Wymagania

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 verbal and written communication skills 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.

Obowiązki

The role:

Design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems.
Work in cross-functional Agile teams with data scientists, machine learning engineers and domain experts, and partner with stakeholders from data owners to executive sponsors.
Contribute to R&D on next-generation AI capabilities.

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.

Benefity

Structured development programmes, coaching and clear, actionable feedback.

Inne informacje

The role involves frequent business travel.

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