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Open nowPosted 1618 days ago

Data Engineer

keyrusbelgium9 open roles

Where
Grimbergen, Belgium
Work mode
Hybrid
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Your applicationOpen nowData Engineerkeyrusbelgium · Grimbergen, Belgium

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  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 1618 days ago

The posting

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

What You'll Architect

This role combines hands-on engineering with system design. You build the data environments that allow organisations to move from fragmented data to usable, scalable intelligence.

  • Design and implement data architectures aligned with client data strategies
  • Build and maintain data pipelines, covering ingestion, transformation, and storage
  • Process large datasets using distributed frameworks such as Spark, Kafka, or Hadoop
  • Structure data environments to support analytics, AI, and operational use cases
  • Collaborate with architects on system design, integration, and performance improvements
  • Integrate data platforms across cloud environments (Azure, AWS, GCP)
  • Apply engineering best practices across data lifecycle management
  • Support the evolution from traditional BI towards modern, scalable data platforms
  • Work directly with clients to translate business needs into technical data solutions
  • Contribute to improving software and database development practices

Who You Are

You are a hands-on engineer who understands how data systems enable decision-making

  • You think in systems: flows, dependencies, and scalability
  • You move confidently between building pipelines and contributing to architecture discussions
  • You bring structure to complex or fragmented data landscapes
  • You are pragmatic — focused on making data usable and reliable in real environments
  • You collaborate naturally with architects, analysts, and business stakeholders
  • You contribute to a culture of continuous improvement and shared knowledge

What You Bring

Qualifications / Experience

  • 5+ years of experience in Data Engineering, Big Data, or Business Intelligence
  • Experience with ETL / ELT processes, data warehousing, or data visualisation
  • Exposure to complex data environments and large-scale data processing
  • You are fluent in Dutch or French and English

Technical Skills

  • Strong SQL knowledge (PL/SQL, T-SQL or similar is a plus)
  • Programming experience in Python, Scala, Java, or Go
  • Experience with Big Data technologies such as Spark, Kafka, and Hadoop
  • Familiarity with NoSQL databases (Cassandra, HBase, MongoDB) and MPP architectures
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Knowledge of distributed data processing and streaming concepts (volume, velocity, variety)
  • Experience with tools such as Databricks, Docker, Terraform is an advantage
  • Working knowledge of Linux environments
  • Familiarity with Agile and Scrum methodologies

Nice-to-haves

  • Experience with AI or data science environments
  • Exposure to real-time or event-driven data architectures

Rewards - What We Offer at Keyrus

Growth

At Keyrus we have created an environment where people are supported, challenged and connected to the people around them.

Working on impactful Data & Digital projects you will develop a broad and versatile skill set and stay ahead in a fast-evolving, AI-driven landscape.

Our digital learning platform, with over 30,000 courses including in-house trainings developed by our experts, is a perfect way to stay on top of your game

A generous training budget is available to help foster a culture where learning, feedback and continuous improvement is the norm You will have a dedicated coach, benefit from regular check-ins, learn via different communities and have clear alignment with your team and company goals We want you to grow with confidence. We therefore place a strong emphasis on ownership, open feedback and continuous development.

When people feel trusted, connected and inspired, they do their best work!

Rewards

Mobility budget? Car with fuel or charging car? We offer both so you can choose!

On top of that we also have daily and monthly net allowances, eco vouchers, hospitalisation (DKV) insurance and group insurance, as well as a generous bonus scheme that you can use on our flexible reward plan.

What We Stand For

Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.

Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.

Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.

Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.

About Keyrus

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

· Intelligence Foundations,

· Human in Command governance,

· and Performance Steering,

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

#LI-JA1

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