20 beste vacatures voor de functie van data engineer in bruxelles auderghem, bru (nieuwe medewerkers gezocht)

Data Engineer II - McKinsey Transformatics
McKinsey & Company —Brussel
- Computerwetenschappen
- Informatica
- Master
Data Engineer | Financial Sector
Capgemini —Diegem
- Azure
- Oracle
Data Engineer | Financial Sector
Capgemini Sogeti —Diegem
- Azure
- Oracle
QA Engineer - Data Platforms (Databricks)
Moody's —Brussel
- Computerwetenschappen
- Informatica
- SQL
Senior Fabric Data Engineer
Laco —Diegem
- Voltijds
- Azure
- SQL
- Artificiële intelligentie
Data Engineer
itsme® —Brussel
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
6 dagen
Data Governance Engineer
Datashift NV —Mechelen
- Voltijds
- Hybride werken
- Master
- SQL
- Linux
- Tankkaart
Snel solliciteren
Data Engineer
Sopra Steria —Brussel
- Voltijds
- Hybride werken
- Azure
- SQL
- Bedrijfsontwikkeling
Snel solliciteren
Analytics Engineer
dataroots —Leuven
- Voltijds
- Hybride werken
- Engels
- SQL
- Bachelor
Snel solliciteren
Engineer QC | SAP Master Data | Brussels
Plasma Industries Belgium —Brussel
- Microsoft Office
- Master
- Bachelor
Senior Data Engineer (m/w/d)
Everience Benelux —Brussel
- Voltijds
- Hybride werken
- Computerwetenschappen
- Informatica
- Master
Snel solliciteren
Consultant in Data Science
Sia —Brussel
- Voltijds
- Hybride werken
- Master
- Machine learning
- ICT
Snel solliciteren
️ Data Platform Engineer
dataroots —Leuven
- Voltijds
- Hybride werken
- Azure
- Secundair Onderwijs
- SQL
Snel solliciteren
Data Engineer
Keyrus Belgium —Grimbergen
- Hybride werken
- Azure
- Systeem ontwerpen
- Java
Snel solliciteren
Infrastructure & Security Engineer H/F Consortia - Testing, Développement, Data & IA · Bruxelles · Hybride
Consort Group —Bruxelles Ixelles
- € 55.000 - € 75.000 per jaar
- Windows
- Analytisch vermogen
- SharePoint
Senior Data Scientist - ML Engineer
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Doctoraat
Snel solliciteren
Data Engineer
Datashift NV —Mechelen
- Voltijds
- Azure
- Java
- Master
- Tankkaart
Snel solliciteren
Senior Databricks Data Engineer
Capgemini —Diegem
- Engels
- SQL
Data Governance Collibra Platform Engineer
Capgemini Sogeti —Diegem
- Engels
Senior Consultant in Data science
Sia —Brussel
- Voltijds
- Hybride werken
- Master
- Machine learning
- ICT
Snel solliciteren

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Data Engineer II - McKinsey Transformatics

McKinsey & Company -
Brussel

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Vacaturegegevens

Kwalificaties

CI/CD
Performance tuning
Computerwetenschappen
Datamodellering
Informatica
Git
Tableau
Master
SQL
Database design
AWS
Bachelor
Machine learning
ETL
Agile
S3
Datawarehouse
Python

Volledige vacaturetekst

Job ID: 96878

Brussels

London

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 be part of an effort to build next-gen data platforms on the cloud to enable our business stakeholders to have rapid data access and incubate emerging technologies.

You will be part of the team managing data governance, ensuring necessary data security and lifecycle controls are in place.

Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames. You will be based in our Brussels or London office.

Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and project managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.

As a member of the team, you will work alongside a team of skilled data engineers to design, build, and optimize scalable data solutions that power analytics, reporting, and machine learning. You will be responsible for procuring data from APIs, ingesting it into the data storage layer, and ensuring its quality through cleaning and standardization. You will develop scalable data ingestion pipelines that integrate on cloud ecosystems, making data readily available for analytics and reporting.

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

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

2+ years of hands-on experience in data engineering, ETL development, cloud-based data solutions, or building data products that serve analytics, automation, or machine learning needs

Strong foundational knowledge of AWS cloud services, including S3, Lambda, Glue, and Snowflake, with a focus on scalable and cost-efficient data architecture

Proficiency in Python, with experience in modularization, writing optimized, production-ready code for data transformations and automation

Advanced SQL skills, including query optimization, performance tuning, and database design

Experience in building robust and scalable data pipelines using AWS Glue, Step Functions and SQL-based transformations (using stored procedures)

Solid understanding of data modeling, data warehousing concepts, and schema design best practices

Hands-on experience with Tableau or other BI tools for data visualization and dashboard development

Exposure to DevOps and CI/CD practices, including infrastructure-as-code, version control (Git), and automated deployment strategies

Strong problem-solving mindset, with the ability to troubleshoot and optimize complex data workflows efficiently

Experience with Databricks for scalable data processing and PySpark for distributed data transformations (preferred)

Excellent communication and collaboration skills, with the ability to work effectively in agile, cross-functional teams

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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Verfijn je zoekopdracht

data engineer vacatures in bruxelles auderghem, bru

Data Engineer II - McKinsey Transformatics

Data Engineer | Financial Sector

Data Engineer | Financial Sector

QA Engineer - Data Platforms (Databricks)

Senior Fabric Data Engineer

Data Engineer

Data Governance Engineer

Data Engineer

Analytics Engineer

Engineer QC | SAP Master Data | Brussels

Senior Data Engineer (m/w/d)

Consultant in Data Science

️ Data Platform Engineer

Data Engineer

Infrastructure & Security Engineer H/F Consortia - Testing, Développement, Data & IA · Bruxelles · Hybride

Senior Data Scientist - ML Engineer

Data Engineer

Senior Databricks Data Engineer

Data Governance Collibra Platform Engineer

Senior Consultant in Data science

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in bruxelles auderghem, bru

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