McKinsey & Company

Data Engineering Consultant - QuantumBlack, AI by McKinsey

190k - 235k PLN190 000 - 235 000 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#435642·Dodano miesiąc temu·13

Źródło: nofluffjobs.com

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Tech Stack / Keywords

DegreeData solutionPhytonSQLAIGenerative AI Databricks Snowflake BigQuery PandasMLOps/LLMOpsCI/CDCloudCursorClaude CodeCodex

Firma i stanowisko

McKinsey & Company is hiring for their QuantumBlack, AI by McKinsey teams in Warsaw, Poland, focusing on building data infrastructure and AI systems for enterprise clients across industries.

Wymagania

Degree in Computer Science, Engineering, or equivalent experience.
2+ years of experience building and deploying data solutions.
Strong proficiency in Python and SQL for data engineering with production-grade code experience.
Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence.
Familiarity with data preparation, embeddings generation, vector search, and system integration using modern frameworks such as Spark, dbt, and LangChain.
Strong foundation in system design, data storage, and reliability with platforms like Databricks, Snowflake, BigQuery, and PostgreSQL.
Hands-on experience with MLOps/LLMOps principles, including CI/CD, automated agent evaluation tools (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform).
Experience with varied data formats (structured vs unstructured), data processing methods (streaming vs batch), and cloud platforms (AWS, Azure, GCP).
Strong time management skills in autonomous work environments.
Client-facing or senior stakeholder management experience is beneficial.
Experience using coding agents such as Cursor, Claude Code, or Codex is a plus.
Strong verbal and written communication skills in English and Polish.

Obowiązki

Build foundational data infrastructure for AI applications leveraging LLMs, retrieval systems, workflows, and agentic architectures.
Design and maintain scalable data pipelines and manage secure data environments.
Prepare data for AI-driven systems and collaborate with cross-functional teams including Data Scientists and Machine Learning Engineers.
Translate hypotheses into engineered features and participate in R&D initiatives for innovative AI capabilities.
Collaborate with clients from data owners to C-level executives to solve complex business problems at scale.

Benefity

Training budget
International projects
Private healthcare
Sport subscription
Free coffee, snacks, and beverages
Canteen
Mobile phone
Free parking
Modern office
Gym
Bicycle parking
Shower facilities
In-house trainings

Dofinansowanie szkoleń

Pakiet relokacyjny

Opieka zdrowotna

Karta sportowa

Napoje w biurze

Darmowe przekąski

Firmowa stołówka

Telefon

Parking dla aut

Prysznic

Szkolenia wewnętrzne

Parking dla rowerów

McKinsey & Company

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