20 beste vacatures voor de functie van data engineer in hal (nieuwe medewerkers gezocht)

Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatica
- Azure
- Informatica
Belgium : Data Engineer - Freelance (REF18)
Trusted Advisors —Brussel
- Oracle
- DevOps
- Java
Data Engineer Senior
Extia —Bruxelles Auderghem
- Java
- AWS
- Machine learning
Databricks Engineer
AE —Groot-Bijgaarden
- Voltijds
- Azure
- Geen ervaring nodig
- SQL
5 dagen
Data Engineer | Financial Sector
Capgemini —Diegem
- Azure
- Oracle
Project Leader Reporting & Data Engineering
Ageas —Brussel
- Engels
- Communicatieve vaardigheden
- Gezondheidsprogramma
1 dag
Engineer QC | SAP Master Data | Brussels
Plasma Industries Belgium —Brussel
- Microsoft Office
- Master
- Bachelor
Data Management Engineer
Keyrus Belgium —Grimbergen
- Hybride werken
- Computerwetenschappen
- Informatica
- Master
Snel solliciteren
Data Engineer
Solidaris Vlaanderen —Brussel
- Vanaf € 3.691,70 per maand
- Voltijds
- Azure
- Engels
- Master
- Thuiswerkopties
- Pensioensparen
BE - Data Engineer BI
Collaboration Betters the World —Brussel
- Voltijds
- Artificiële intelligentie
Senior SAS Platform Administrator & Developer
Entico —Brussel
- Voltijds
- Schrijfvaardigheden
- SQL
- Analytisch vermogen
10 uur
BE - Senior Data Science Engineer
Collaboration Betters the World —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Doctoraat
Google Senior Data Engineer
Devoteam G Cloud Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- Java
- Tankkaart
Snel solliciteren
Senior Data Engineer - Banking
NORRIQ —Brussel
- Hybride werken
- Computerwetenschappen
- Microsoft Excel
- Engels
Snel solliciteren
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
QA Engineer - Data Platforms (Databricks)
Moody's —Brussel
- Computerwetenschappen
- Informatica
- SQL
Data Ops Engineer - Consultant
MasORange —Evere
- Voltijds
- Computerwetenschappen
- Azure
- Doctoraat
Data Engineering Manager - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
BE - Data Engineer BI
Positive Thinking Company —Brussel
- Voltijds
- Artificiële intelligentie
Specialist in data engineering – Reserve officier (Master)
Defensie —Evere
- Weekendbeschikbaarheid
- Informatica
- Master
- School
14 uur

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Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company -
Amsterdam

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Vacaturegegevens

Kwalificaties

CI/CD
Informatica
Azure
Informatica
DevOps
Engineering
Spark
Git
Engels
Google Cloud Platform
SQL
Pandas
Continuous integration
AI
Communicatieve vaardigheden
Python
Tijdmanagement

Volledige vacaturetekst

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.

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data engineer vacatures in hal

Data Engineer - QuantumBlack, AI by McKinsey

Belgium : Data Engineer - Freelance (REF18)

Data Engineer Senior

Databricks Engineer

Data Engineer | Financial Sector

Project Leader Reporting & Data Engineering

Engineer QC | SAP Master Data | Brussels

Data Management Engineer

Data Engineer

BE - Data Engineer BI

Senior SAS Platform Administrator & Developer

BE - Senior Data Science Engineer

Google Senior Data Engineer

Senior Data Engineer - Banking

Consultant Data & Analytics SAP - Datasphere / BDC l Belgium

QA Engineer - Data Platforms (Databricks)

Data Ops Engineer - Consultant

Data Engineering Manager - Financial Services

BE - Data Engineer BI

Specialist in data engineering – Reserve officier (Master)

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in hal

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