15 beste vacatures voor de functie van data engineer in waterloo (nieuwe medewerkers gezocht)

Decision Intelligence Developer
Deloitte —Zaventem
- Deeltijds
- Azure
- ERP systemen
- Databases
AI & Data Engineer
iO —Brussel
- Hybride werken
- Azure
- Master
- SQL
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
Consultant Data Engineer - Google Cloud (GCP)
Sia —Brussel
- Voltijds
- Hybride werken
- Azure
- DevOps
- Master
Snel solliciteren
11 dagen
Provide Data Engineering Support Services to the NATO Cyber and Digital Transformation Division
Vector Synergy —Brussel
- API's
- Python
Snel solliciteren
Data Engineering Manager - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
Data Engineer - GenAI
Artefact —Brussel
- Computerwetenschappen
- Azure
- Engels
Senior Power BI Developer
Thoughtlabs —Brussel
- Deeltijds
- SQL
Data Analytics Engineer
Elmos —Brussel
- Azure
- SQL
10 dagen
Senior Data Scientist – MMM Expert
Artefact —Brussel
- Computerwetenschappen
- Master
- SQL
Microsoft BI, Azure and PowerBI Consultant
Keyrus Belgium —Grimbergen
- Azure
- Artificiële intelligentie
Snel solliciteren
Senior Functional Analyst
ARHS Developments Belgium —Brussel
- Voltijds
- Hybride werken
- Azure
- Systeem ontwerpen
- SQL
Snel solliciteren
Functional Data Engineer - HQ Brussel
BNP Paribas Fortis —Brussel
Senior Data Scientist - GenAI
Artefact —Brussel
- Computerwetenschappen
- Management
- Doctoraat
Microsoft Business Intelligence Expert - MS Fabric
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- SQL
Snel solliciteren

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Decision Intelligence Developer

Deloitte -
Zaventem

Nu solliciteren

Vacaturegegevens

Deeltijds | Voltijds

Kwalificaties

Jira
TensorFlow
CI/CD
Power BI
Azure
Data lake
Kubernetes
PyTorch
Spark
ERP systemen
Warehouse management systeem
Git
Google Cloud Platform
Tableau
Databases
SQL
AWS
Docker
Confluence
ETL
Kafka
Redshift
Communicatieve vaardigheden
Python
Hadoop

Volledige vacaturetekst

General Information

Company

Deloitte

Business Unit

Technology & Transformation

Primary Location

Zaventem

Field of interest

Consulting & Strategy

Industry Focus

Industry Agnostic

Recruiter

Bulinckx, Julie - [email protected]

Description of the position

Can’t wait to make an impact on the world? You’re not alone. Join us in driving progress in the working world and beyond.

Your journey with us

We’re seeking a talented Data Skill Builder to join our Supply Chain Data Team. In this role, you’ll be the bridge between complex data systems and actionable insights—extracting, transforming, and visualizing data from diverse sources to fuel intelligent decision-making. You’ll work closely with architects and business stakeholders to build robust data pipelines and compelling analytics that drive supply chain optimization. If you’re passionate about turning raw data into business value and thrive in a collaborative, fast-paced environment, this is your opportunity to make a tangible impact.

What You’ll Do

Data Extraction & Integration: Extract data from multiple enterprise systems (ERP, WMS, TMS, planning tools) and third-party sources; design and build reliable data pipelines that consolidate information into unified datasets

Data Analysis & Transformation: Perform exploratory data analysis, identify data quality issues, and transform raw data into clean, structured formats ready for analytics and modeling

Analytics Development: Develop analytical queries, dashboards, and reports that surface key insights; translate business questions into data-driven answers

Data Visualization: Create compelling visualizations and interactive dashboards (Tableau, Power BI) that communicate complex data stories to business stakeholders in clear, actionable ways

Collaboration with Architects: Work closely with Solution Architects to understand technical requirements; implement data solutions according to architectural specifications and best practices

Data Quality & Governance: Implement data validation checks, monitor data quality, and maintain documentation; ensure data consistency and reliability across systems

Continuous Learning: Stay current with data engineering tools, analytics techniques, and emerging technologies; contribute ideas for improving data processes and methodologies

Let's talk about you

Data Engineering Fundamentals: 3+ years of hands-on experience building data pipelines, ETL processes, and working with SQL and relational/non-relational databases

Programming Proficiency: Strong experience with Python, SQL, or similar languages; ability to write clean, maintainable code and debug technical issues independently

Analytics & Visualization: Demonstrated expertise with analytics tools (Tableau, Power BI, Looker) and statistical analysis; ability to translate data into compelling visual narratives

Cloud & Data Platforms: Familiarity with cloud environments (AWS, Azure, GCP) and experience working with data warehouses, data lakes, or big data platforms (Spark, Hadoop)

Problem-Solving Mindset: Strong analytical thinking; ability to break down complex data challenges and find practical solutions with minimal guidance

Communication Skills: Ability to explain technical concepts to non-technical stakeholders; comfortable presenting findings and collaborating across teams

Passion for Data: Genuine curiosity about data; track record of delivering data projects that drove measurable business insights or operational improvements

Primary Focus: Data Excellence Over Platform Specificity

While familiarity with Aera Technology is a nice-to-have, data engineering and analytics expertise is what matters most. We value professionals who:

Prioritize data quality, pipeline reliability, and analytical rigor above platform-specific knowledge

Can quickly learn new tools and platforms as business needs evolve

Understand when to build custom solutions vs. leverage existing platforms

Bring deep experience with core data technologies: Python, SQL, cloud data warehouses, BI tools, and ML frameworks

Supporting Technologies

Data & Analytics: Python, SQL, Spark, Kafka, TensorFlow, PyTorch, scikit-learn, XGBoost
Cloud Platforms: AWS, Azure, GCP
Data Warehousing: Snowflake, BigQuery, Redshift, Delta Lake
Visualization & BI: Tableau, Power BI, Looker
DevOps & Deployment: Git, Docker, Kubernetes, CI/CD pipelines
Collaboration: Jira, Confluence, design tools

Our story

Enterprise Performance is about achieving maximum impact and value from investments in finance, supply chain, and IT operations requires a holistic view of key business functions from strategy through process design and technology enablement

Deloitte is a globally recognized professional services firm committed to making an impact that matters. Our Supply Chain & Network Operations practice supports clients in addressing their most critical supply chain challenges through strategic, analytical, and technology-enabled projects. We deliver end-to-end, data-driven redesign and digitization to transform key areas such as planning, sourcing & procurement, manufacturing, and logistics & distribution. Join our team in Belgium and work with clients across diverse industries as we advise, implement, and operate solutions that drive sustainable growth and operational excellence.

Who is Deloitte?
We provide industry-leading audit and assurance, tax and legal, consulting and related services. We are committed to driving innovation across offerings to help our clients address their challenges, while giving our professionals opportunities to learn and grow in this era of transformation.
In Belgium, +5000 dedicated professionals active in +10 offices, take great pride in bringing multidisciplinary expertise to a wide variety of clients, from national and international companies, small, fast-growing and large organizations to public institutions and governmental authorities.
Why Deloitte?
Be the true you! We foster diversity and inclusion and encourage you to bring your authentic self to work. Explore, question and collaborate while building a career that inspires and energises you.
Never stop growing! Diversity of thought makes us stronger. At Deloitte, we tailor a personalized learning experience, offering you the opportunity to grow at your own pace and achieve maximum impact.
We practice what we preach! As a Purpose-led organisation, at the heart of everything we do is a set of timeless principles and unifying values.
Life looks different for each of us, so we created a varied benefits package that you can tap into:

My Benefits My Choice, a flexible rewards plan tailored to your lifestyle and priorities
Sustainable transport options offered by Mobility@Deloitte
Flexible work arrangements for all and initiatives supported by Parents & Caregivers @Deloitte
Wellbeing tips and activities powered by Energise@Deloitte
Topped off with other health benefits and insurance opportunities

Empowering our employees with flexible work arrangements remains essential in today's reality:

Hybrid workplace: combination of home office and on-site (+10 offices in Belgium or client's premises).
Part-time employment: all our jobs are open to full-time or part-time work under a 90% or 80% regime.

Join us to make an impact together! Apply now!

Nu solliciteren

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data engineer vacatures in waterloo

Decision Intelligence Developer

AI & Data Engineer

Consultant Data & Analytics SAP - Datasphere / BDC l Belgium

Consultant Data Engineer - Google Cloud (GCP)

Provide Data Engineering Support Services to the NATO Cyber and Digital Transformation Division

Data Engineering Manager - Financial Services

Data Engineer - GenAI

Senior Power BI Developer

Data Analytics Engineer

Senior Data Scientist – MMM Expert

Microsoft BI, Azure and PowerBI Consultant

Senior Functional Analyst

Functional Data Engineer - HQ Brussel

Senior Data Scientist - GenAI

Microsoft Business Intelligence Expert - MS Fabric

Discover related jobs

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General Information

Description of the position

What You’ll Do

Primary Focus: Data Excellence Over Platform Specificity

Supporting Technologies

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