20 annunci per il ruolo di aws data engineer - vimercate, lom (recruiting in corso)

Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Milano, Lombardia
- Informatica
- DevOps
- Inglese
Senior Data Engineer
Moneyfarm —Milano, Lombardia
- 45.000 € - 65.000 € all'anno
- Tempo pieno
- Informatica
- Gestionale
- Ingegneria
Candidatura rapida
DevOps Engineer - Curricular Internship
Datrix —Milano, Lombardia
- 700 € al mese
- Remoto
- DevOps
- Inglese
- Java
GNSS Software Engineer and Architect
Thales —Gorgonzola, Lombardia
- 41.424,25 € - 51.823,63 € all'anno
- Tempo pieno
- DevOps
- Ingegneria
- Laurea magistrale
SENIOR FULL-STACK SOFTWARE ENGINEER
Philogen —Milano, Lombardia
- 60.000 € - 100.000 € all'anno
- Tempo pieno
- Laurea magistrale
- SQL
- AWS
App Services - Application Developer Engineer/Architect
Kyndryl —Milano, Lombardia
- Tempo pieno
- Informatica
- DevOps
- Java
Data Engineer
Overace —Milano, Lombardia
- Azure
- Inglese
- Java
Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Milano, Lombardia
- Dottorato di ricerca
- Inglese
- Java
Solution Architect – Custom Software Development, Cloud & Generative AI
Avanade —Milano, Lombardia
- 40.880 € - 71.830 € all'anno
- Azure
- Inglese
- AWS
Senior Quality Assurance Engineer (m/f/d)
Ververica GmbH —Milano, Lombardia
- Tempo pieno
- Azure
- Java
- AWS
Candidatura rapida
Senior Data Architect
RE COLLECTION SRL —San Donato Milanese, Lombardia
- 50.000 € - 65.000 € all'anno
- Informatica
- DevOps
- Java
PM Infrastrutture IT - Senior Consultant
BIP - Business Integration Partners —Milano, Lombardia
- 34.000 € - 40.000 € all'anno
- Tempo pieno
- Remoto
- PMP
- Windows
- AWS
- Assicurazione sanitaria
Specialista Cloud AWS - Milano
AXCENT COMPANY —Milano, Lombardia
- Tempo pieno
- Gestionale
- Informatica
- Inglese
Candidatura rapida
DevOps Engineer
RE COLLECTION SRL —San Donato Milanese, Lombardia
- 30.000 € - 40.000 € all'anno
- Informatica
- Informatica
- DevOps
Services BU Lead (Remote)
Agile Lab —Milano, Lombardia
- 45.000 € - 67.500 € all'anno
- Tempo pieno
- Remoto
- Informatica
- Azure
- Gestionale
Lead Account Solution Engineer - Informatica
Salesforce —Milano, Lombardia
- 70.425 € - 94.200 € all'anno
- Tempo pieno
- Azure
- Gestionale
- Vendite
Experienced Professional | Data Scientist
Jakala —Milano, Lombardia
- 25.000 € - 40.000 € all'anno
- Azure
- Informatica
- Inglese
Data Scientist
Modelway —Milano, Lombardia
- Informatica
- Gestionale
- Inglese
Big Data Expert
NTT Ltd —Milano, Lombardia
- Java
- SQL
- AWS
AWS - Data Architect
NTT Ltd —Milano, Lombardia
- Azure
- Gestionale
- Java

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di aws data engineer nella seguente località: vimercate, lom

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Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company -
Milano, Lombardia

Candidati adesso

Dettagli della posizione

Apprendistato

Qualifiche

CI/CD
Informatica
DevOps
Inglese
Google Cloud Platform
SQL
Machine learning
Python
Time management

Descrizione completa della posizione

Job ID: 109933

Milan

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in our Milan office as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

Your work offers a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Degree in Computer Science/Engineering, or equivalent experience
Experience in a data-focused role (internships, academic projects)
Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL
Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)
Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)
Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles
Exceptional time management in a complex and largely autonomous work environment
Willingness to learn quickly and adapt to different project situations and tech stacks
Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
Strong communication skills, both verbal and written, in English.

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Candidati adesso

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aws data engineer offerte - vimercate, lom

Data Engineer - QuantumBlack, AI by McKinsey

Senior Data Engineer

DevOps Engineer - Curricular Internship

GNSS Software Engineer and Architect

SENIOR FULL-STACK SOFTWARE ENGINEER

App Services - Application Developer Engineer/Architect

Data Engineer

Software Engineer - QuantumBlack, AI by McKinsey

Solution Architect – Custom Software Development, Cloud & Generative AI

Senior Quality Assurance Engineer (m/f/d)

Senior Data Architect

PM Infrastrutture IT - Senior Consultant

Specialista Cloud AWS - Milano

DevOps Engineer

Services BU Lead (Remote)

Lead Account Solution Engineer - Informatica

Experienced Professional | Data Scientist

Data Scientist

Big Data Expert

AWS - Data Architect

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di aws data engineer nella seguente località: vimercate, lom

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