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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 leading organization in the insurance sector, is seeking a professional to join their data management team to enhance the capacity of their data platform. The role focuses on the analysis, implementation, and maintenance of ETL processes within an Azure environment to support data warehousing and data lake initiatives.
Our client, a prominent organization in the public sector, is looking for a professional to join their analytics division. The role involves developing AI and analytical building blocks for a modern data platform by exploring and validating new technologies through iterative feasibility studies.
Our client, a major organization in the infrastructure and transport sector, is looking for a strategic leader to define their digital future. The project involves designing and implementing a comprehensive roadmap for ERP and data solutions through 2031, ensuring alignment between technical capabilities and business needs.
Our client, a leading organization in the transport sector, is seeking a Data Governance Specialist to enhance the reliability and security of its data assets. The role focuses on defining and implementing a pragmatic governance framework to ensure compliance with cybersecurity regulations and optimize the value of the organization's data.
Our client, a leading organization in the biotechnology sector, is seeking a specialist to transform complex data into actionable insights within their supply chain operations. The role focuses on developing advanced reporting solutions and driving operational excellence across warehouse environments through data-driven analysis.
Our client, a leading organization in the transport and infrastructure sector, is looking for a Data Pipeline Analyst to lead and optimize data initiatives. The role combines data analysis, semantic modeling, and the enhancement of data pipelines to ensure interoperability and data quality.
Our client, a leading infrastructure organization, is seeking a specialist to develop and optimize AI capabilities within their ERP and data landscape. The project focuses on leveraging advanced automated solutions to maximize the efficiency of existing platforms across all organizational departments.
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.
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 professional services sector, is looking for a Data Engineer to join their dedicated data and analytics team. The role focuses on developing out-of-the-box data solutions and robust reporting frameworks to meet complex business needs.
Onze klant, een toonaangevende en mensgerichte organisatie gespecialiseerd in dienstverlening voor ondernemers, zoekt een Corporate Data Analist om complexe data te vertalen naar strategische groei. In deze rol combineer je technische expertise met business-inzicht om de digitale maturiteit en operationele efficiëntie van de organisatie direct te beïnvloeden.
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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