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Manager Data Engineer (Ref. : 2025-1204) - Manager

KPMG -
Zaventem

Soumettre votre candidature

Détails de l'emploi

CDI | Temps plein
Il y a 1 jour

Avantages

Voiture de société
Assurance hospitalisation
Travail à domicile
Événements d'entreprise

Qualifications

Français
CI/CD
Azure
Data lake
DevOps
Spark
Google Cloud Platform
Android
Master
SQL
AWS
Data warehouse
Néerlandais

Description complète du poste

Advisory - Manager

Roles & Responsibilities

As a (senior) Manager data engineer at KPMG Lighthouse, you will play a crucial role in the development of complex and diverse data products from an end-to-end perspective. You are on the track to become a master in leading Data Engineering solutions for our clients. You combine technical and consultancy skills to build modern data solutions for multiple organizations to become more data driven. You will have the opportunity to extensively develop your technical skills, but your growth path will extend beyond. You will be working in a modern environment and find yourself surrounded by a multi-disciplinary team of over 75 data enthusiasts with a strong entrepreneurial spirit. You will be able to work on data platform activities on highly varied client projects across numerous industries which will allow you to develop your skills and knowledge to the full extent.

#LI-DNI

Location

Zaventem HQ

Skills & Qualifications

You bring at least 5 years of experience in data engineering, ideally within a professional services firm, internal analytics team, or similar environment.
You have hands-on experience with technologies such as SQL, Spark, Azure Data Factory, Synapse Analytics, Azure Functions, Databricks, DBT, Snowflake, BigQuery, or Microsoft Fabric.
You’re familiar with cloud-native computing and public cloud platforms like Azure, AWS and/or GCP.
You're proactive, take ownership, and enjoy working collaboratively to solve complex problems.
You think beyond your own role and are keen to understand the broader business context.
You know how to connect with the right people across the organization to drive impact.
Knowledge of modern data architectures (Data Lake, Data Warehouse, Data Vault 2.0, Data Hub,…) and data modeling (conceptual, logical, physical) is a plus.
You confidently navigate AI topics and are able to communicate complex concepts to stakeholders, make ethically sound decisions and adapt to evolving technologies.
Experience with DevOps practices such as CI/CD and Infrastructure as Code is a strong advantage.
You are fluent in Dutch and English. French is a plus.

We offer

As a certified Top Employer we offer:

An attractive remuneration package with a great number of extra-legal benefits (premium electric company car + charging card, net daily and monthly allowances, bonus, Apple/Android personal device and many other benefits tailored through our cafeteria plan).
Flexible work arrangements to ensure a healthy work-life balance (picking up kids from school, doctor’s appointment, working from home,…) and the possibility to work from anywhere 20 days per year.
Comprehensive insurance package including group insurance with full KPMG contributions, hospitalization insurance and optional outpatient options (dental & eye care, medical consultations and registered medication).
Career development opportunities combined with trainings based on your personal goals and aspirations.
An inclusive, international culture where personal growth, mutual trust and lifelong learning is fostered.
A buddy and performance manager to support and guide you throughout your career at KPMG.
Great team building activities and sport & wellbeing events (Brussels Marathon, Antwerp 10 Miles, 1000 kilometers for KOTK, river clean-ups, plant a tree and many more…) through our Together@KPMG & KPMG Foundation programs.

Contract type

Permanent

Full time/ Part time

Full-time

Position location

Job location

Europe, Belgium, Brussels Office - Zaventem HQ

Candidate criteria

Minimum level of experience required

6 to 10 years

Languages

Dutch (Very good knowledge)
English (Very good knowledge)

General information

Reference

2025-1204

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