Data Integration Engineer
BH-12651
Posted: 07/11/2025
- Competitive
- Belgium, Belgium
- Contract/Freelance
Exciting freelance opportunity with a leading energy infrastructure partner! We're looking for an experienced Data Integration Engineer to contribute to cutting-edge projects within the energy sector, focusing on data-driven solutions for sustainability and operational efficiency. Core Responsibilities:
- Design, develop, and implement data pipelines to integrate complex data sources into a unified system.
- Ensure efficient and scalable data processing, focusing on quality, security, and reliability.
- Work with microservices, messaging platforms like Kafka and RabbitMQ, to facilitate communication between different data components.
- Collaborate closely with product teams to translate business requirements into technical solutions.
- Support the optimization of data storage and ensure the implementation of non-functional requirements (e.g., stability, resilience).
- Drive data integration efforts within an agile environment, promoting continuous improvement and innovation.
- Develop and maintain documentation for data workflows, processes, and system architecture.
- Solid experience with C# and .NET for backend development and integration.
- Strong knowledge of data pipeline design and data flow management.
- Practical experience working with messaging platforms such as Kafka or RabbitMQ.
- Familiarity with microservices architecture, including pros/cons and implementation best practices.
- Experience with cloud-based tools for data processing, e.g., Azure Databricks or equivalent.
- Strong understanding of data storage techniques, performance optimization, and data security.
- Ability to work in an agile environment, collaborate with cross-functional teams, and engage in iterative development.
- Proficiency in English, with additional fluency in French or Dutch highly desirable.
- Knowledge of Azure services such as Azure Functions, Azure Data Factory, or Azure Stream Analytics.
- Familiarity with data governance tools and frameworks (e.g., Data Lineage, Data Quality).
- Experience with DevOps principles, including automated testing, CI/CD pipelines, and version control (Git).
- Understanding of data integration tools like Redis, Neo4j, or Apache Arrow.
- Power BI experience is a plus for data visualization and reporting.
- Strong understanding of data architecture best practices for industrial-grade, scalable systems.
- Strong problem-solving and analytical skills to design and optimize complex data systems.
- Excellent communication and teamwork skills, with a collaborative approach to problem-solving.
- Ability to take initiative, work independently, and adapt to changing requirements.
- A passion for cutting-edge technologies and contributing to the energy transition through innovative data solutions.
- A growth mindset, always eager to learn and apply new technologies in real-world projects.
Jonnie Harrison-Wall
Associate Consultant