15 meilleures offres (data engineer, waterloo, wal) (à pourvoir)

Senior Data Engineer I - McKinsey Transformatics
McKinsey & Company —Bruxelles
- Informatique
- Informatique
- DevOps
Senior Data Engineer - Financial Services
EY —Diegem
- Temps partiel
- Informatique
- Azure
- Informatique
Senior Data Scientist (VDAB)
Vlaanderen Connect. —Bruxelles
- Temps plein
- Expérience en gestion d'équipe
- Master
- Machine learning
- Travail à domicile
- Assurance groupe
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Bruxelles
- Microsoft Powerpoint
- Informatique
- Microsoft Excel
Data Science and AI Expert
Sopra Steria —Bruxelles
- Temps plein
- Azure
- Anglais
- Master
Postuler rapidement
BE - Senior Data Science Engineer
Positive Thinking Company —Bruxelles
- Temps plein
- Informatique
- Azure
- Doctorat
Intelligence DevOps Engineer (F/M/X)
EGOV Select —Evere
- Temps plein
- Bilingue
- Doctorat
- Informatique
Senior Data Scientist - GenAI
Artefact —Bruxelles
- Informatique
- Expérience en gestion d'équipe
- Doctorat
SAP Middleware Engineer
Wibit Consulting & Services (WibitCS) —Bruxelles
- Temps plein
- Télétravail
- Anglais
- SQL
- JavaScript
Postuler rapidement
BE - Senior Data Science Engineer
Collaboration Betters the World —Bruxelles
- Temps plein
- Informatique
- Azure
- Doctorat
Senior Functional Analyst
ARHS Developments Belgium —Bruxelles
- Temps plein
- Travail hybride
- Azure
- Conception de systèmes
- SQL
Postuler rapidement
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Bruxelles
- Temps plein
- Informatique
- Azure
- Informatique
Postuler rapidement
IT Expert
Wibit Consulting & Services (WibitCS) —Bruxelles
- Temps plein
- Azure
- Java
- Bases de données
Postuler rapidement
Senior Consultant in Data science
Sia —Bruxelles
- Temps plein
- Travail hybride
- Master
- Machine learning
- IT
Postuler rapidement
Microsoft Business Intelligence Expert - MS Fabric
Devoteam Belgium —Machelen
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
Postuler rapidement

Discover related jobs

Based on your search for data engineer jobs.

AI Engineer
Smals —Bruxelles
Nous vous proposons un salaire compétitif, complété par des avantages extralégaux tels qu'une assurance hospitalisation, un plan de pension complémentaire, des…
il y a 1 jour
AI Expert Agentic Engineer - EU Institutions Brussels
EKXEL IT Services & Financial Engineering —Bruxelles
In this role, you will have the opportunity to work closely with our customers in the public sector and monitoring the progress of the projects, with the aim to…
Postuler rapidement

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

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.

Senior Data Engineer I - McKinsey Transformatics

McKinsey & Company -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Qualifications

CI/CD
Optimisation des performances
Informatique
Modélisation des données
Informatique
DevOps
Encryption
Git
Tableau
Master
SQL
Conception de bases de données
AWS
Bachelier
Machine learning
ETL
Agile
S3
Data warehouse
Python

Description complète du poste

Job ID: 103561

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

You will work in our McKinsey Client Capabilities Network in EMEA and will be part of our Wave Transformatics team, based in the Brussels office.

You will be responsible for designing, building, and optimizing scalable data solutions that power analytics, reporting, and machine learning. Working alongside a team of data engineers across global hubs, you will lead the development of robust data ingestion pipelines, procuring data from APIs and integrating it into cloud-based storage layers while ensuring data quality through rigorous cleaning and standardization.

You will play a key part in building next-generation cloud-based data platforms that enable rapid data access for business stakeholders and support the incubation of emerging technologies. Your work will focus on designing and developing scalable, reusable data products that serve as the foundation for analytics, reporting, and machine learning pipelines.

Your expertise will be instrumental in implementing advanced performance optimization techniques, such as query tuning, indexing strategies, partitioning, and caching, to maximize efficiency in platforms like Snowflake and Databricks. Collaboration will be a key focus, as you work closely with data scientists, engineers, and business teams to deliver well-structured, analytics-ready datasets that drive insights and power machine learning initiatives.

In addition to technical responsibilities, you will establish and enforce data governance practices, ensuring compliance with industry standards such as SOC 2 and GDPR. This includes implementing robust access controls, tracking data lineage, and maintaining encryption standards to safeguard data security. Automation and monitoring will be integral to your work, as you build resilient, automated workflows using tools like Step Functions and Databricks Workflows, while also implementing proactive monitoring, logging, and alerting systems to ensure reliability and data quality.

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.

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.

Mentorship and innovation will be key aspects of your role, as you guide junior engineers, contribute to internal knowledge-sharing initiatives, and stay ahead of emerging technologies. By championing continuous improvement in data engineering methodologies, you will help drive innovation and elevate the organization’s data capabilities to new heights.

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. 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 field

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

Deep expertise in AWS cloud services, including S3, Lambda, Glue, Snowflake, and designing scalable, cost-efficient data architectures

Proficiency in Python, including modularization, writing optimized, production-ready code for data transformations, automation, and workflow orchestration

Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design best practices

Proven experience in designing and implementing scalable data pipelines using AWS Glue, Step Functions, and SQL-based transformations (using stored procedures)

Strong knowledge of data modeling, data warehousing concepts, schema design, and partitioning strategies

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

Hands-on experience with DevOps and CI/CD, including infrastructure-as-code, version control (Git) and automated deployment strategies

Strong problem-solving skills, with a focus on troubleshooting and optimizing complex data workflows for performance, reliability, and scalability

Experience with Databricks for scalable data processing, PySpark for distributed data transformations, and Delta Lake for data versioning (Preferred)

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

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 - waterloo, wal

Senior Data Engineer I - McKinsey Transformatics

Senior Data Engineer - Financial Services

Senior Data Scientist (VDAB)

Senior Data Science Analyst - OptimusAI

Data Science and AI Expert

BE - Senior Data Science Engineer

Intelligence DevOps Engineer (F/M/X)

Senior Data Scientist - GenAI

SAP Middleware Engineer

BE - Senior Data Science Engineer

Senior Functional Analyst

Consultant Data & Analytics SAP - Datasphere / BDC l Belgium

IT Expert

Senior Consultant in Data science

Microsoft Business Intelligence Expert - MS Fabric

Discover related jobs

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

Related Searches

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact