Exsolvæ

www.exsolvae.com

3 Jobs

12 Employees

About the Company

Data changed our world and the way we interact with the industry as professionals. The days when being an expert in one field only was sufficient are gone. The Data Era has come, with it’s opportunities, but also with it’s own problematics, as today, solving an issue with a monofocal expertise at one end of the Data Flow can result in a dramatic gap at the other.

Exsolvæ provides an environment of knowledge sharing for data related professionals in order to create a solid understanding of other experts activities along with the issues they face while working on the same data flow in order to help a new generation of pluridisciplinary engineers to emerge.

From the Data Generating Process at the shop-floor level until it’s Valorization through Dashboarding or Visualization tools for Top Management, the Automation Engineers, Data Scientists, Data Analysts, Computer Scientists, Machine Learning Engineers or Artificial Intelligence Engineers among our teams are not just consultants, they are Solvers.

Their expertise doesn't come just from books.

Their expertise comes from the experience and knowledge they shared.

Their expertise comes from each and everyone of them and the solutions they deployed.

Their expertise comes, EX-SOLVÆ.

Listed Jobs

Company Name: Exsolvæ
Job Title: Data Analyst
Job Description: Job Title: Data Analyst Role Summary: BI Analyst responsible for designing, developing, and optimizing data models and Power BI dashboards to enable strategic decision‑making. Works closely with business and technical teams to ensure high‑quality, secure, and scalable data solutions across cloud platforms. Expectations: * Deliver actionable insights that drive business strategy. * Maintain data accuracy, security, and performance in a multi‑cloud environment. * Uphold BI standards, governance, and continuous quality improvement. Key Responsibilities: * Design, develop, and refine star‑schema/ dimensional data models to support enterprise reporting. * Build, optimize, and maintain Power BI dashboards and reports using Power Query, DAX, and SQL. * Prepare, transform, and model data in Databricks to feed BI solutions. * Deploy and manage data solutions on Azure and/or AWS, ensuring scalability and reliability. * Implement row‑ and column‑level security (RLS/OLS) to control data access. * Apply analytical/statistical techniques to uncover trends and opportunities. * Contribute to BI governance, standards, and best‑practice documentation. * Support continuous improvement of data quality, consistency, and trustworthiness. Required Skills: * 4+ years in BI/Data Analysis or related role. * Advanced proficiency in Power BI, Power Query, DAX, and SQL. * Hands‑on experience with Databricks for data preparation and modeling. * Working knowledge of cloud platforms (Azure, AWS) for BI architecture. * Expertise in tabular models, star‑schema design, and high‑performance analytics. * Experience implementing role‑based security (RLS/OLS). * Strong analytical mindset and structured problem‑solving approach. * Excellent communication skills; able to translate complex data into clear insights. * Bilingual proficiency in English and French or Dutch (additional language skills welcome). Required Education & Certifications: * Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field. * Preferred certifications: Microsoft Power BI, Databricks, Azure Fundamentals, or AWS Certified Data Analytics.

Company Name: Exsolvæ
Job Title: Data Engineer
Job Description: Job Title: Data Engineer Consultant Role Summary: Architect, build, and maintain Azure‑based data platforms for advanced analytics and operational use cases. Own end‑to‑end data pipelines, ensuring scalability, reliability, and performance by leveraging Azure Databricks, Spark, and associated services. Collaborate with cross‑functional teams to translate business requirements into technical solutions and maintain best‑practice data engineering standards. Expactations: Deliver robust, secure, and optimized data pipelines; design analytical models; implement data validation and monitoring; continuously evaluate Azure and Databricks features; contribute to internal technical standards. Key Responsibilities: - Design and implement scalable ETL/ELT pipelines using Azure Databricks, Spark, and Azure Data Factory. - Build analytical data models for reporting and advanced analytics. - Integrate structured and semi‑structured data from multiple sources into Azure Data Lake. - Ensure data quality through validation, monitoring, and performance tuning. - Apply data governance, security, and cost‑control best practices. - Collaborate with data scientists, architects, and stakeholders to deliver end‑to‑end solutions. - Stay current on Azure and Databricks enhancements and propose platform improvements. Required Skills: - Minimum 4 years’ experience in data engineering roles. - Deep expertise in Microsoft Azure services (Data Lake, Data Factory, Synapse, Databricks). - Advanced knowledge of Spark / PySpark for distributed processing. - Advanced SQL skills, including performance tuning on large datasets. - Strong communication and client‑facing teamwork abilities. - Professional fluency in Dutch and English (spoken and written). Required Education & Certifications: - Master’s degree in Computer Science, Engineering, or related field. - Azure or Databricks certifications (preferred).

Company Name: Exsolvæ
Job Title: Consultant - Data Science - Generative AI Specialist
Job Description: **Job Title** Consultant – Data Science – Generative AI Specialist **Role Summary** Design, develop, and deploy generative and intelligent agent AI solutions for enterprise clients across finance, pharma, automotive, and retail. Work directly with client teams to identify opportunities, architect end‑to‑end AI systems, and ensure production readiness through MLOps best practices. **Expectations** * Deliver high‑quality AI prototypes and production models within agreed timelines. * Maintain clear communication with client stakeholders and internal teams. * Contribute to knowledge sharing and continuous improvement of AI practices. **Key Responsibilities** 1. **Client Engagement** – Partner with client teams to scoping and define AI use cases, presenting technical feasibility and business value. 2. **Generative AI Development** – Build and fine‑tune models for text generation, content creation, customer support automation, and predictive analytics using frameworks such as OpenAI, Hugging Face, TensorFlow, and PyTorch. 3. **Agentic System Design** – Architect intelligent agents with LangChain, Semantic Kernel, or AutoGen to automate complex workflows and enhance real‑time decision making. 4. **End‑to‑End Implementation** – Lead model development, validation, deployment on AWS, Azure, or Google Cloud, and integration into client production environments. 5. **MLOps & Monitoring** – Implement CI/CD pipelines, monitor model drift, enforce security and compliance, and optimize scalability. 6. **Research & Innovation** – Stay current on generative AI research, advanced prompt engineering (RAG, ReAct), and emerging agent frameworks; contribute insights to internal knowledge sessions. **Required Skills** * Python programming; experience with TensorFlow, PyTorch, and generative AI toolkits (OpenAI, Hugging Face). * Proven ability to fine‑tune large language models and implement prompt engineering strategies. * Deep knowledge of intelligent agent architectures and frameworks (LangChain, Semantic Kernel, AutoGen). * Cloud deployment expertise on AWS, Azure, or GCP with MLOps tooling. * Strong client‑facing communication, problem‑solving, and stakeholder management. * Fluency in English and proficiency in French or Dutch (both preferred). **Required Education & Certifications** * Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or related field. * Minimum 5 years of experience in data science or AI roles with demonstrable generative and agentic AI projects. ---