Job Opportunities API

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 K