About this role
We are looking for an experienced Senior Data Engineer to join our Data team and contribute to the design, implementation, and optimization of scalable and robust data solutions. In this role, you will build and maintain modern data architecture, pipelines, and models to support a wide range of data-driven initiatives across the organization.
You will collaborate closely with cross-functional teams, analysts, and project managers to ensure that data is available, accessible, high-quality, and actionable.
Responsibilities
Design, implement, and maintain scalable data architecture, including databases, data lakes, and data warehousesBuild, automate, and optimize ETL/ELT pipelines to ingest and process data from various sourcesIntegrate heterogeneous data sources into unified, high-quality datasets for analytics and reportingEnsure data consistency, accuracy, and reliability across the entire data lifecycleManage and optimize data infrastructure in terms of performance, storage, and operational costsAct as a technical lead, coaching other data engineers and promoting development best practicesDevelop and maintain data processing code using Python, Spark, SQL, or similar technologiesCollaborate with analysts, developers, and business stakeholders to understand data requirements and deliver solutionsEnsure the scalability, security, and performance of data platformsCreate and maintain clear, comprehensive documentation for data processes and architecturesMonitor and maintain production data pipelines and systemsShare knowledge and best practices with IT and business stakeholdersTechnical skills
Must-have
Proven experience as a Senior Data Engineer or in a similar roleSolid experience managing and operating modern data platformsHands-on experience with cloud services (e.g., AWS S3, Athena, Glue, Redshift or equivalent on Azure/GCP)Experience with Databricks or other distributed data processing platformsStrong programming skills in Python, Spark, SQLExperience with data processing frameworks and automationKnowledge of Agile methodologies (Scrum, Kanban)Experience with CI/CD tools (Azure DevOps, GitLab, Jenkins, etc.)Knowledge of data preparation or orchestration tools (e.g., Dataiku, Airflow)Relevant cloud certifications are a strong assetGood-to-have
Experience in the utilities, energy, or finance industriesFamiliarity with systems such as CRM or ERP solutions (e.g., Salesforce, SAP)Experience with Agile project management tools (Azure DevOps, Jira)Understanding of financial reporting processesAdditional cloud certifications (Architect, SysAdmin)Soft Skills
Strong team player with excellent communication abilitiesAble to explain complex technical concepts to non-technical audiencesComfortable working in multicultural and cross-functional environmentsAdaptable to evolving technologies and changing business needsStrong organizational skills and attention to detailEducation & Professional Background
Bachelor’s or Master’s degree7–10 years of experience as a Data Engineer or similar technical roleLanguages
Fluent in French & EnglishDutch is a strong plus All our positions are open to both women and men and are, of course, open to people with disabilities.