Home
Jobs
Exsolvæ
Solver - Data Engineering Specialist

Solver - Data Engineering Specialist

On site

Brussels, Belgium

Full Time

17-03-2025

Share this job:

Score my CV Apply

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: KPMG Belgium
Job Title: Data Science Manager
Job Description: Function Advisory - Manager Roles & Responsibilities In a world where stakeholders are consistently expected to provide more diverse digital experiences, data scientists are continuously challenged – to work is to grow. The KPMG Lighthouse is currently looking for talents in the field of data science, people who are able to exploit data to create smart digital solutions, but who are also able to inspire about the art of the possible. What is the job about? Contributing to the growth of Advanced Analytics and Machine Learning as a topic and as a competence at KPMG Contributing to the growth of our project portfolio Mentoring colleagues Stepping ito conversations with clients, and translating their business needs into Artificial Intelligence solutions Gathering and organizing data Deciding on an analytical approach, and executing the analysis with a good eye for detail, all the while efficiently working towards the best possible solution Communicating with clients: absorbing their thoughts, convincing them of the strengths of your models Bringing your model into production – and communicating with specialist IT profiles Creating and maintaining good relationships with stakeholders – clients, vendors, KPMG colleagues,… Location Zaventem HQ Skills & Qualifications The tasks of a data scientist manager are diverse, and we are not looking for the unicorn data scientist, but a mindset focused on learning on the job is vital! Elements we hope to see in our data scientist managers: Concrete experience delivering concrete AI products. A master degree with strong elements of modern data science techniques: Machine Learning algorithms, coding, statistics,… Other types of eduction are also valued. A sound knowledge of algorithms, and the ability to critically apply this knowledge to practical problems. Knowledge of common data science software. We have a Python-first setup, but will if needed tackle problems using R, SAS, SQL, Spark, and work with tools such as Jupyter Notebooks, IDE’s, Git, Microsoft Azure, Obviously, additional bonus points for PhD’s, and more specific knowledge like e.g. Keras, D3.js The desire to learn and grow A positive, collaborative, and flexible mindset Fluent professional proficiency in Dutch or French is required. We offer As a Certified Top Employer We Offer An international corporate culture in which personal growth, mutual trust and lifelong learning are being fostered. A competitive and attractive compensation package and a great number of extra-legal advantages (Company car + fuel card, IPhone/IPad, group & hospitalization insurance, Allowances,…) which are customizable with our Reflex@KPMG plan. Career and business development opportunities combined with trainings based on your personal needs and ambitions. Learning and growth opportunities designed for leaders through our Management development Track. Flexible, hybrid work arrangements to enable working from wherever you are. A team of passionate colleagues to reach higher goals and support eachother A buddy and performance manager to support and assist you through your first months at KPMG. Great teambuilding, sport & wellbeing initiatives through our Together@KPMG program. An inclusive workspace that encourages diversity and pursues mutual respect for each other’s beliefs and backgrounds.

Company Name: Sia
Job Title: Senior Consultant in Data science
Job Description: Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Job Description As a Senior consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives: Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...) Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models Big Data : Algorithmic knowledge for large and unstructured data processing You will get the opportunity to actively contribute to Sia’s internal activities: Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges Business development, by contributing to need definition and participating in our commercial initiatives As fast as possible, you will take up team leadership roles and connect with colleagues of all levels. Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company. In return, you can expect: An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions. A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged A personal development plan with a regular follow-up as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,... Qualifications University Master Civil Engineer (applied mathematics, IT or similar) 2 to 6 years’ experience as a consultant Outstanding team player with great interpersonal and communication skills Strong interest in data science and related sectors such as Energy and Finance Analytical mind, exploring options and able to synthesize into conclusions Dynamic, result oriented, rigorous and committed Trilingual: French, Dutch and English Prepared to participate in temporary assignments abroad Additional Information We are unable to provide a work permit for this position Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Company Name: Sia
Job Title: Consultant Data Engineer
Job Description: Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Job Description The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow. As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team: Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code Docker and Kubernetes: containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...) CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites Data pipelines: development of ETL scripts in Big Data environments Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models. Qualifications You hold a Master’s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance) You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering. You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB). Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics. You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution. You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform). You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management) You have excellent interpersonal and team working skills Excellent English, Dutch & French verbal and written skills are required. Additional Information Sia is certified "Great Place to Work". Come and join us to take part in this great company. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Company Name: Proximus Group
Job Title: Security for AI Engineer
Job Description: Proximus’ newly created center of excellence for AI and Cybersecurity, the mission of the Security Management and CSIRT teams is to protect Proximus, its customers, its business, its operations and reputation against external and internal threats. You will be fascinated by a highly dynamic environment, the strong collaboration and some deep technical aspects. As a Security for AI Engineer, you will play a key role in developing and maintaining the security of our codebase and artificial intelligence systems, ensuring the protection of our products and services from potential threats and vulnerabilities. We are looking for an experienced professional with a background in security, particularly in the areas of code security and AI, who can collaborate closely with our development teams through code. Responsibilities Design, implement, and maintain secure coding practices and protocols to prevent vulnerabilities and threats in our AI-based projects. Collaborate with cross-functional teams to integrate security into the development lifecycle of our AI products and services. Propose and implement a clean way of automating the assessment of the security maturity of our deployed projects and models. Stay up-to-date with the latest developments and advancements in AI security, including emerging threats and countermeasures. Profile We are looking for an experienced security professional with a strong background in secure coding practices, AI security, and software development. The ideal candidate will have a passion for staying current with the latest developments in the field. You should be a self-motivated and collaborative individual who can grow our expertise in security related to code and AI, and contribute to the development of a culture of security awareness within our organization. Technical Skills Proficiency in Python programming language. Experience with secure coding practices and protocols, including secure coding guidelines and standards (e.g. OWASP). Knowledge of AI security threats and countermeasures, including adversarial attacks and defenses. Familiarity with industry-standard security tools and technologies, such as vulnerability scanners and penetration testing frameworks. Ability to drive innovation by experimenting with new techniques and frameworks to solve real-world problems. Strong communication skills for providing technical support, mentorship, and clear guidance to team members. Experience in data science is a plus. Experience with Azure is a big plus. Languages Fluent in English and preferably also French and/or Dutch.