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: Consultant - Data Engineering
Job Description: Job Title: Data Engineering Consultant Role Summary: Design, build, and optimize Azure‑native data solutions for enterprise clients, enabling scalable lakehouse and analytics environments. Lead end‑to‑end ETL/ELT pipelines, ensure data quality, and collaborate with cross‑functional teams to deliver AI‑ready data products. Expectations: * Deliver production‑grade data pipelines and lakehouse models in a fast‑paced, client‑focused setting. * Demonstrate expertise in Microsoft Azure data services, performance tuning, and governance. * Lead or support data‑engineering initiatives from concept through deployment, continuously improving automation and security. Key Responsibilities: 1. Architect and develop Azure‑based data pipelines using Data Factory, Azure Synapse, Azure Databricks, and Data Lake. 2. Build and optimize ETL/ELT workflows with PySpark and SQL. 3. Design and implement lakehouse solutions using Synapse and Delta Lake, ensuring scalability and performance. 4. Establish data quality, lineage, and reliability through automated testing and monitoring frameworks. 5. Integrate large‑scale datasets across hybrid and multi‑cloud environments. 6. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. 7. Apply best practices for security, compliance, and cost efficiency in cloud architecture. 8. Stay current with Azure, Databricks, and Microsoft Fabric trends; evaluate new tools and approaches for automation and governance. 9. Mentor junior engineers and contribute to knowledge sharing within the team. Required Skills: * Deep experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake. * Proficiency in PySpark, SQL, and ETL/ELT design. * Strong understanding of lakehouse architecture, Delta Lake, and performance tuning. * Ability to build automated data quality and monitoring pipelines. * Familiarity with cloud security best practices and governance frameworks. * Excellent communication and collaboration skills for cross‑functional projects. * Knowledge of streaming data frameworks (Kafka, Azure Event Hub) and multi‑cloud proficiency (AWS, GCP) is a plus. Required Education & Certifications: * Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent professional experience). * Microsoft Fabric certification is preferred; hands‑on experience with Fabric components (OneLake, Data Factory, Synapse, Power BI) is desirable.

Brussels, Belgium

On site

04-11-2025

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).