20 meilleures offres (data engineer, aalst) (à pourvoir)

Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatique
- Azure
- Informatique
Data Engineer (m/w/d) with focus on data migration
Everience Benelux —Bruxelles
- Temps plein
- Bases de données
- SQL
Postuler rapidement
Functional Data Engineer - HQ Bruxelles
BNP Paribas Fortis —Bruxelles
- Anglais
Ingénieur de bases de données (H/F/X)
Cliniques Universitaires Saint-Luc —Bruxelles
- De garde
- Informatique
- Oracle
- Informatique
Implementation Data Science Engineer
Robovision —Gand
- Temps plein
- Travail hybride
- Master
- Python
Postuler rapidement
Senior BI Engineer – Power BI
Sopra Steria —Bruxelles
- Temps plein
- Azure
- SQL
Postuler rapidement
AI Engineering & Data Science Lead
La Lorraine Bakery Group —Ninove
- Informatique
- Azure
- Informatique
il y a 2 jours
Belgium : Power BI Developer - Freelance (REF18)
Trusted Advisors —Bruxelles
- Informatique
- Informatique
- Anglais
Belgium : Data Engineer - Freelance (REF18)
Trusted Advisors —Bruxelles
- Oracle
- DevOps
- Java
Data/AI Engineer - Data Platform & Analytics
SquareDev —Bruxelles
- Temps plein
- Travail hybride
- Azure
- DevOps
- Bases de données
Postuler rapidement
il y a 1 jour
Data Scientist - McKinsey Transformation
McKinsey & Company —Bruxelles
- Informatique
- Doctorat
- Informatique
Data Analyst (Power BI, ML)
EUROPEAN DYNAMICS —Bruxelles
- Temps plein
- Télétravail
- Doctorat
- Anglais
- Master
Postuler rapidement
BE - Data Engineer
Positive Thinking Company —Bruxelles
- Temps plein
- Informatique
- Informatique
- SQL
Analytics Engineer
Qargo —Gand
- Travail hybride
- Informatique
- SQL
BE - Data Scientist
Positive Thinking Company —Bruxelles
- Temps plein
- Machine learning
- Intelligence artificielle
Data Engineer
Solidaris Wallonie —Bruxelles
- Azure
- Anglais
- Master
Data Engineer (V/M/X)
NBB —Bruxelles
- SQL
- Python
- Travail à domicile
- Assurance groupe
Data-Engineer (M/V/X)
APB - Algemene Pharmaceutische Bond / Association Pharmaceutique Belge —Bruxelles
- Java
- Bases de données
- SQL
- Travail à domicile
SAS ETL developer
FalconSmartIT —Bruxelles
- Master
- SQL
- Esprit d'analyse
Postuler rapidement
Data Engineer
Sfeir —Bruxelles
- Azure
- Anglais
- AWS

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (aalst)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Afficher des offres d'emploi dans d'autres lieux

data engineer jobs near aalst

Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company -
Amsterdam

Soumettre votre candidature

Détails de l'emploi

Stage

Qualifications

CI/CD
Informatique
Azure
Informatique
DevOps
Spark
Git
Anglais
Google Cloud Platform
SQL
Pandas
Intégration continue
Intelligence artificielle
Compétences en communication
Python
Gestion du temps

Description complète du poste

Job ID: 97365

Amsterdam

Brussels

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

As a Data Engineer I, 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.

In this role, 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 McKinsey’s QuantumBlack and 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 one of our BeNeLux offices 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.

This role 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 some of the 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.

0-2+ years’ 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.

Strong communication skills, both verbal and written, in English.

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.

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.

Soumettre votre candidature

Affinez votre recherche

data engineer emplois - aalst

Data Engineer - QuantumBlack, AI by McKinsey

Data Engineer (m/w/d) with focus on data migration

Functional Data Engineer - HQ Bruxelles

Ingénieur de bases de données (H/F/X)

Implementation Data Science Engineer

Senior BI Engineer – Power BI

AI Engineering & Data Science Lead

Belgium : Power BI Developer - Freelance (REF18)

Belgium : Data Engineer - Freelance (REF18)

Data/AI Engineer - Data Platform & Analytics

Data Scientist - McKinsey Transformation

Data Analyst (Power BI, ML)

BE - Data Engineer

Analytics Engineer

BE - Data Scientist

Data Engineer

Data Engineer (V/M/X)

Data-Engineer (M/V/X)

SAS ETL developer

Data Engineer

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (aalst)

Related Searches

Afficher des offres d'emploi dans d'autres lieux

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact