Solver - Data Engineering Specialist
On site
Brussels, Belgium
Full Time
17-03-2025
Job Specifications
About Exsolvæ:
Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Engineering, Advanced Analytics, and AI.
At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions.
We are seeking a Data Engineering Specialist with expertise in Azure technologies to join our expert team.
Your Role:
As a Data Engineering Specialist with a focus on Azure, you will design and implement cloud-native data solutions that enable clients to unlock the full potential of their data assets. You will collaborate with multidisciplinary teams, utilizing advanced Azure technologies to build scalable, efficient data pipelines, data models, and analytics workflows.
What We’re Looking For:
Required Skills and Qualifications
Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Languages: Written & Spoken Fluency in English AND French or Dutch
Seniority: 3-7 years of work experience
Experience: On-Premise AND Cloud hands on Data Engineering experience
Azure Expertise: Extensive experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, and Azure Databricks.
Programming Skills: Proficiency in Python and SQL, with experience in big data tools like Apache Spark.
Cloud Proficiency: Hands-on experience with Azure DevOps, CI/CD pipelines, and infrastructure as code tools (e.g., Terraform, Bicep).
ETL/ELT Development: Demonstrated expertise in building and optimizing ETL/ELT pipelines for complex datasets.
Soft Skills: Strong communication and collaboration skills to engage with clients and cross-functional teams.
Preferred Skills
Familiarity with MLOps pipelines and integration with Azure Machine Learning.
Knowledge of Power BI for creating interactive dashboards and visualizations.
Microsoft Certified: Azure Data Engineer Associate or equivalent certifications.
What You’ll Do:
Core Expertise
Client Engagement: Collaborate with clients to assess their data needs and recommend Azure-based solutions to streamline data processing and storage.
Data Ecosystem Implementation: Design and implement solutions leveraging Azure Synapse Analytics, Data Factory, Databricks, Data Lake Storage, and related tools.
Pipeline Optimization: Develop and maintain robust ETL/ELT pipelines to ensure efficient data ingestion and transformation.
Technical Implementation
Data Modeling and Warehousing: Design and optimize scalable data models and data warehousing solutions using Azure SQL and Synapse Analytics.
Big Data Integration: Work with big data tools like Apache Spark within Azure environments to manage and process large datasets.
Cloud Deployment: Implement and manage data solutions on Azure with an emphasis on security, scalability, and performance.
Microsoft Fabric: Utilize Microsoft Fabric to integrate and optimize analytics workflows for seamless data experiences.
Research and Innovation
Stay updated on advancements in Azure technologies, big data tools, and Microsoft Fabric.
Explore innovative methodologies to enhance the efficiency and security of data engineering practices.
Project Management
Lead Azure-based projects from design to deployment, ensuring alignment with client objectives and timely delivery.
Collaborate with cross-functional teams, including Data Scientists and Solution Architects, to implement end-to-end data solutions.
Training and Support
Conduct workshops to empower client teams in adopting and managing Azure-based data platforms.
Provide ongoing support to ensure the scalability and performance of deployed systems.
Why Join Us?
Impactful Projects: Engage in transformative Azure-based data initiatives across industries like finance, healthcare, and manufacturing.
Continuous Learning: Access the latest tools, certifications, and training opportunities to remain at the cutting edge of Azure technologies.
Collaborative Culture: Be part of a team that values collective intelligence and mutual support.
Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration.
Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits.
Apply Today, if you are a driven professional with a passion for Azure technologies and a keen interest in leveraging Microsoft Fabric to revolutionize data solutions, we’d love to hear from you!
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... Know more
Related Jobs
- Company Name
- SMILE
- Job Title
- Data Architect Freelance
- Job Description
- Au sein de l'agence Smile située à Bruxelles, rejoignez nos passionnés de digitalisation et d'Open Source, dans une équipe à taille humaine. Description du poste En tant que Data Architect de pointe, vous serez le moteur de la transformation numérique de nos clients, concevant et implémentant des architectures de données innovantes et évolutives. Votre rôle sera crucial dans l'élaboration de solutions de gestion de données avant-gardistes, en exploitant les technologies les plus récentes et les méthodologies émergentes. Responsabilités principales Concevoir et développer une architecture de données moderne, flexible et cloud-native Implémenter des solutions de data fabric pour une intégration et une gestion des données agiles Diriger la transition vers des plateformes de données basées sur le cloud, en utilisant des technologies comme Apache Iceberg Optimiser les processus de collecte, de stockage et d'utilisation des données en temps réel Assurer la conformité au RGPD et la sécurité des données Collaborer étroitement avec les équipes de data engineers, data scientists et métiers Promouvoir et mettre en œuvre une approche de data mesh pour une gestion décentralisée des données Compétences techniques Plusieurs de ces compétences doivent être démontrées: Expertise en conception d'architectures de données cloud-native et Data Lakehouse Maîtrise des technologies Big Data, NoSQL, et des bases de données graphes Expérience approfondie avec Apache Iceberg, notamment dans la gestion de données à grande échelle et l'optimisation des requêtes Compétences avancées intégration de données et les processus ETL/ELT (Talend Data Fabric) Expertise en virtualisation des données, incluant l'optimisation des requêtes et la gouvernance des données (comme Denodo) Maîtrise de solutions pour l'accélération des données et la création d'architectures de Data Lakehouse (comme Dremio) Connaissance approfondie des techniques de Data Vault 2.0, de la modélisation de données flexibles, des concepts de Data Mesh, Data Fabric, et Data Federation Expérience avec une ou plusieurs des plateformes cloud majeures (AWS, Azure, GCP) et leur intégration avec les outils mentionnés Maîtrise des langages SQL, Python, Java et des outils de visualisation de données (Tableau, Power BI) Compétences personnelles Vision stratégique et capacité à anticiper les tendances futures en data architecture Excellentes aptitudes en communication et vulgarisation de concepts techniques complexes Capacité à travailler en mode agile et à s'adapter rapidement aux nouvelles technologies Esprit d'innovation et passion pour l'exploration de nouvelles solutions data Compétences avancées en gestion de projets et résolution de problèmes complexes Formation et expérience Master en informatique, data science ou domaine connexe Minimum 5 ans d'expérience en tant que Data Architect ou rôle similaire Certifications pertinentes (ex: AWS Certified Data Analytics, Azure Data Engineer, Talend, Denodo, Dremio) fortement appréciées A propos de Smile Nous sommes certifiés “Happy at Work” en Belgique 2024 ! Nous sommes situés à Bruxelles, Montgomery. Nous sommes certifiés “Happy at Work” en Belgique 2024 ! Nous sommes situés à Bruxelles, Montgomery. Mission In the midst of our digitally intertwined lives, be it at work, home, during travel, or leisure, we envision a world where humanity not only embraces the digital realm with a smile but does so with a commitment to caring for the planet and its people. We provide services to companies, organizations and governments to imagine, build and continuously improve the digital experiences of their audience (employees, agents, clients… people). We base our technical work on Open Source technologies, supported by vast communities, and we contribute back to it. And the must: we work with up to date collaborative methodologies and tools. We are a European Digital Service company, leader in Open Source. Our core values: expert + sustainable + open + human
- Company Name
- Exsolvæ
- Job Title
- Solver - Business Intelligence & Advanced Analytics Specialist
- Job Description
- About Exsolvæ: Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Business Intelligence, Advanced Analytics, and AI. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Business Intelligence & Advanced Analytics Specialist to join our expert team and help our clients unlock the power of data to drive strategic decision-making and innovation. Your Role: As a Business Intelligence & Advanced Analytics Specialist, you will design and implement data-driven solutions that enable organizations to make informed, strategic decisions. You will work alongside multidisciplinary teams, using advanced BI tools and techniques to create insightful dashboards, reports, and analytics workflows. What We’re Looking For: Required Skills and Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Business Intelligence, or a related field. Languages: Written & Spoken Fluency in English AND French or Dutch Seniority: 3-7 years of work experience Technical Expertise: Proficiency in data visualization tools like Power BI, Tableau, or Qlik, and strong SQL skills for querying databases. Data Integration Skills: Experience with ETL/ELT processes and tools such as Azure Data Factory, SSIS, or Informatica. Cloud Experience: Hands-on experience with cloud BI platforms like Azure Synapse Analytics, AWS QuickSight, or Google BigQuery. Programming Skills: Familiarity with Python or R for advanced analytics and statistical modeling. Soft Skills: Strong analytical thinking, communication, and collaboration skills to work with clients and multidisciplinary teams. Preferred Skills Knowledge of big data tools like Apache Spark or Hadoop. Experience with predictive analytics and machine learning integration into BI workflows. Familiarity with KPI frameworks and business acumen to align analytics with strategic goals. Certifications such as Microsoft Certified: Data Analyst Associate or Tableau Certified Professional. What You’ll Do: Core Expertise Client Engagement: Collaborate with clients to assess their analytical needs and recommend BI solutions that align with their strategic goals. Data Integration and Reporting: Design and implement data visualization solutions using tools like Power BI, Tableau, or Qlik, creating impactful dashboards and reports. Data Ecosystem Implementation: Build and optimize scalable data pipelines to process and transform data efficiently for BI and analytics purposes. Technical Implementation Data Modeling: Develop and maintain robust, scalable data models to support analytical needs. ETL/ELT Development: Create efficient data integration workflows using ETL/ELT tools and frameworks. Advanced Analytics: Apply statistical and predictive modeling techniques to extract actionable insights from complex datasets. Cloud BI Solutions: Deploy and manage BI workflows on platforms such as Azure, AWS, or Google Cloud to ensure performance and scalability. Research and Innovation Stay updated on advancements in BI and analytics technologies, tools, and methodologies. Explore innovative ways to integrate advanced analytics techniques, such as predictive analytics and machine learning, into BI solutions. Project Management Lead BI and analytics projects from concept to completion, ensuring timely and high-quality delivery. Collaborate with cross-functional teams to deliver end-to-end solutions that meet client objectives. Training and Support Conduct workshops and training sessions to empower client teams with BI and analytics capabilities. Provide ongoing support to ensure the reliability and scalability of deployed solutions. Why Join Us? Impactful Projects: Contribute to diverse BI and analytics projects across industries like finance, healthcare, retail, and manufacturing. Continuous Learning: Access the latest BI and analytics tools and training opportunities to stay at the cutting edge. Collaborative Culture: Be part of a supportive team that values knowledge sharing and mutual growth. Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration. Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits. If you are a driven professional with a passion for Business Intelligence and Advanced Analytics, and a proven ability to design and deploy impactful data-driven solutions, we’d love to hear from you!
- Company Name
- Exsolvæ
- Job Title
- Solver - Data Science & Machine Learning Specialist
- Job Description
- About Exsolvæ: Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Science, Advanced Analytics, and Artificial Intelligence. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative AI and machine learning solutions. Your Role: As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their most pressing challenges and create sustainable value using AI and ML. What We’re Looking For: Required Skills and Qualifications Educational Background: Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field. Languages: Written & Spoken Fluency in English AND French or Dutch Seniority: 3-7 years of work experience Programming Skills: Expertise in Python and SQL, with experience in big data tools like Apache Spark or Databricks. Machine Learning Mastery: Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models. Cloud Expertise: Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP Vertex AI for scalable AI deployments. Data Visualization: Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics: Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques. Soft Skills: Exceptional communication, critical thinking, and stakeholder management skills. Preferred Skills Familiarity with advanced ML techniques, such as reinforcement learning, graph ML, and large language models (LLMs). Experience with MLOps tools like MLflow, Kubeflow, and Docker/Kubernetes. Knowledge of causal inference frameworks (e.g., DoWhy, EconML) and time-series forecasting methods. Certifications such as Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning, or Google Professional ML Engineer. What You’ll Do: Core Expertise Client Engagement: Collaborate with clients to identify data challenges, define objectives, and recommend AI/ML solutions that align with business goals. Model Development: Design and train advanced machine learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn. Insight Generation: Transform complex datasets into actionable insights using statistical analysis and advanced visualization tools like Power BI or Tableau. Technical Implementation Machine Learning Solutions: Develop models for classification, regression, clustering, and NLP using modern techniques, including deep learning and reinforcement learning. Data Engineering: Collaborate with Data Engineers to build robust data pipelines and optimize data for ML applications using platforms like Azure, AWS, or GCP. MLOps: Deploy and maintain models in production environments using MLOps pipelines with tools like MLflow or Kubeflow. Cloud Deployment: Implement AI workflows on cloud platforms such as Azure Machine Learning, AWS SageMaker, or GCP Vertex AI with scalability and performance in mind. Research and Innovation Stay updated on advancements in AI/ML technologies and incorporate state-of-the-art practices into client projects. Explore innovative methodologies like transfer learning, Vision Transformers, and graph neural networks to enhance solutions. Project Management Lead end-to-end ML projects, from problem definition to model deployment, ensuring alignment with client objectives and deadlines. Collaborate with cross-functional teams, including Data Engineers and Solution Architects, to deliver comprehensive solutions. Training and Support Conduct workshops and training sessions to empower client teams in adopting and managing AI/ML solutions. Provide ongoing support to ensure the scalability and performance of deployed AI systems. Why Join Us? Impactful Projects: Work on transformative AI/ML initiatives across industries like finance, healthcare, retail, and energy. Continuous Learning: Access to the latest tools, certifications, and training opportunities to remain at the cutting edge of AI and ML. Collaborative Culture: Be part of a team that values knowledge sharing and collective growth. Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration. Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits. If you are a driven professional with a passion for Artificial Intelligence and a proven ability to design and deploy impactful AI/ML solutions, we’d love to hear from you!
- Company Name
- KPMG Belgium
- Job Title
- Microsoft Purview Consultant – Data Security and Compliance Focus
- Job Description
- Function Advisory - Manager Roles & Responsibilities As a Microsoft Purview Consultant specializing in data security and compliance, you will play a crucial role in ensuring our clients' data assets are secure and compliant with regulatory standards. While data governance is a nice-to-have, our primary focus will be on leveraging Purview's robust security and compliance features. Data Security: Implement data loss prevention (DLP) policies to safeguard sensitive information. Manage data classification and labeling to ensure proper handling and protection. Monitor for unauthorized access and potential security breaches. Compliance: Ensure adherence to regulations such as GDPR, CCPA, and HIPAA. Conduct audits and gap analyses to identify and address compliance gaps. Develop and maintain documentation and reporting mechanisms for audits. Staying Updated: Keep abreast of the latest security threats and regulatory changes. Continuously update strategies and policies to align with new requirements. Location Zaventem HQ Skills & Qualifications Proficiency in Microsoft Purview, with a focus on security and compliance features. Experience with data protection frameworks and regulations. Strong ability to design and implement security policies and procedures. Knowledge of risk management and incident response. Excellent communication skills to translate technical requirements into business terms. Technical skills in Azure services and relevant certifications (e.g., SC-400: Implement Information Protection in Microsoft 365; - AZ-500 Azure Security Engineer Associate) are a plus. We offer Benefits As a Top Employer in Belgium, KPMG offers an attractive salary package that aligns with your expertise and ambitions. Our benefits include: Flexible working arrangements Comprehensive insurance packages Company car and fuel card Net allowances and a laptop A smartphone (iPhone/iPad or Samsung) The opportunity to personalise your compensation package through our ReFlex@KPMG plan