Our client, a leading organization in the telecommunications sector, is looking for a specialist to join their customer experience division. This role focuses on leveraging big data through innovative models and visualizations to drive strategic improvement initiatives and enhance the overall service experience.
Our client, a major organization in the infrastructure sector, is seeking an Expert SAP BI Engineer to lead the design and implementation of strategic data solutions. This role focuses on leveraging SAP PM and Ariba data through advanced modeling and analytics to support high-level decision-making.
Our client, a leading organization in the transport and infrastructure sector, is seeking an Expert Data Architect. The role focuses on designing robust data architectures and managing complex database environments to support business-critical systems.
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’.
Our client, a leading organization in the service sector, is looking for a Data Engineer to join their dedicated data and analytics team. The role focuses on developing innovative solutions through analysis, development, and testing to meet complex reporting requirements. This position requires a balance between a future-proof vision and the practical complexities of data modeling.
Our client, a leading organization in the professional services sector, is seeking a Functional Data Analyst to bridge the gap between business stakeholders and data engineering teams. This role involves translating complex business needs into actionable data products and strategic insights to drive digital innovation. The focus is on managing the analytics roadmap, ensuring data quality, and validating high-impact reporting solutions.
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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