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Find your next Data & AI role and turn complex data into insights, intelligent systems, and scalable solutions that drive smarter decisions across analytics, platforms, and AI-powered products.
Our client, a prominent organization in the infrastructure and transportation sector, is seeking a skilled professional to join their agile data team. The role focuses on designing and implementing advanced data pipelines, architectures, and analytical models within a modern cloud environment.
Onze klant, een vooraanstaande en mensgerichte organisatie, is op zoek naar een Data Analist om complexe gegevens om te zetten in strategische inzichten. In deze rol krijg je de kans om een cruciale bijdrage te leveren aan de segmentstrategieën en de dienstverlening continu te verbeteren door middel van geavanceerde analyses.
Our client, a leading organization in the transport and infrastructure sector, is seeking an experienced professional to manage and coordinate diverse data-driven initiatives. This role acts as a bridge between technical teams and business stakeholders to ensure strategic alignment and robust project governance across the organization.
Our client, a major organization in the transportation infrastructure sector, is seeking an expert to bridge the gap between legal requirements and technical AI implementation. The role focuses on ensuring compliance by design and integrating responsible AI practices into the core development processes.
Our client, a leading organization in the transport sector, is looking for a specialist to establish and evolve their data governance and compliance frameworks. This role focuses on strengthening data management activities, supporting tool selection processes, and fostering data literacy across the organization.
Our client, a prominent player in the digital retail sector, is looking for an Applied Scientist to enhance their discovery and recommendation engines. The role involves optimizing learning-to-rank models and supporting strategic technical evaluations within a dynamic engineering environment.
Onze klant is een dienstverlener die een breed gamma diensten aanbiedt aan ondernemers en zelfstandigen. Als betrouwbare partner reikt onze klant proactieve oplossingen op elk sleutelmoment van het ondernemerschap.
Daarbij wensen ze ook te innoveren en zoeken ze voor een nieuw digitaal team versterking op vlak van dataverwerking.
Onze klant wil zijn data verwerking naar een hoger niveau tillen. Er is intern zeer veel informatie voorhanden over verschillende applicaties. Deze functie zal mee de basis van een sterke data governance leggen en de structuur uitzetten. Onze klant zoekt iemand die zin heeft in het verbeteren van de datakwaliteit, het adviseren van collega’s en het bouwen aan een gedeeld begrip van data bij onze klant. Je komt terecht in het team ‘grote ondernemingen’.
Own data and AI initiatives end to end, from raw data to decision-making tools and production-ready models.
Data Analyst
Turn chaotic data into clear insights, build dashboards people actually use, answer “can you pull this real quick?” requests that never take five minutes, and help teams make decisions backed by numbers not gut feelings.
Data Scientist
Build predictive and statistical models, uncover patterns humans miss, communicate complex concepts simply, and spend most of your time preparing messy data so your models can shine during that final demo.
Data Architect
Design modern data ecosystems such as lakes, warehouses, streams and icebergs that scale, ensure data flows cleanly from source to insight, and prevent the entire organization from drifting into a spaghetti mess of pipelines and shadow databases.
Data Engineer / ETL Engineer / DWH Engineer
Build and maintain reliable data pipelines, transform raw data into trusted datasets, design performant warehouses, and ensure downstream teams aren’t trying to make decisions using incomplete or inconsistent data.
Analytics Engineer
Live between data engineering and analytics, own the transformation layer, write maintainable dbt models, and turn raw tables into clean, documented, analyst-ready datasets that don’t break every other day.
BI Analyst
Turn data into business intelligence, build dashboards and visualizations that drive decisions, and explain why numbers differ between systems without blaming “the data” unless it really is the data.
BI Developer
Build enterprise BI solutions, design semantic layers and optimized data models, and create dashboards fast enough that executives stop emailing you Excel screenshots asking for “the latest version.”
AI Engineer
Build and deploy AI solutions, integrate ML models into production systems, and bridge the gap between experimental notebooks and real-world applications that scale reliably and deliver measurable business value.
Machine Learning Engineer
Take ML models from prototype to production, build training and inference pipelines, monitor performance in the wild, and make sure the model that worked on test data doesn’t collapse under real user behavior.
MLOps Engineer
Automate the end-to-end ML lifecycle, manage feature stores, versioning, and model monitoring, detect drift before it becomes a crisis, and make deploying ML models as stable as deploying regular software.
AI Architect
Design enterprise-level AI architectures and strategies, evaluate where AI adds real value, define data/model pipelines, and ensure solutions integrate cleanly instead of becoming unmaintainable collections of experiments.
Prompt Engineer / LLM Engineer
Optimize prompts and model interactions, build evaluation frameworks for LLM performance, fine-tune models for specific use cases, and navigate the constantly evolving world of generative AI where best practices change monthly.
Data Product Manager
Define the roadmap for data products and platforms, translate business needs into data requirements, and balance the tension between delivering quick insights and building scalable foundations for long-term analytics.
Power BI Developer
Build interactive Power BI dashboards, optimize DAX that tests your patience (and CPU), improve report performance, and create visuals that make insights obvious—even for non-technical audiences.
Power BI Analyst
Translate business questions into Power BI reports, connect to every data source imaginable, build DAX measures that reflect business logic, and explain discrepancies between Power BI reports and old Excel files.
Microsoft Fabric Engineer
Build solutions across the Fabric ecosystem, manage lakehouses and pipelines, and orchestrate end-to-end analytics flows in Microsoft’s unified data platform.
Microsoft Fabric Architect
Design enterprise data architectures on Fabric, plan migrations from legacy systems, and architect solutions that use Fabric’s capabilities effectively without locking the organization into long-term complexity.
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