Senior Analytics Engineer

• Design and build robust dbt models on Databricks
• Transform raw ingested data into clean, conformed, analytics-ready datasets
• Define and implement KPI logic with business and analytics stakeholders
• Maintain and evolve reliable, tested, documented, and performant semantic and presentation layers
• Apply software engineering best practices including version control, testing, CI/CD, and documentation
• Independently onboard and explore new data domains
• Engage business partners and domain owners to understand context and validate assumptions
• Identify data quality issues and work with Data Management to resolve them at source
• Translate analytical needs into engineering tasks and communicate data realities to the business
• Support reporting and self-service needs
• Contribute to data governance, naming conventions, lineage documentation, and model cataloguing
• Extend analytics coverage to new brands and domains
• Report to the Director of Analytics and collaborate with data engineers, analytics engineers, and business stakeholders

• 5+ years of experience in analytics engineering, data engineering, or a closely related data role
• Strong, hands-on proficiency with dbt (dbt Core or dbt Cloud)
• Experience working on Databricks or a comparable cloud data platform such as Snowflake or BigQuery
• Solid understanding of dimensional modelling, data vault, or similar data warehousing patterns
• SQL excellence, including complex transformations, window functions, and query optimisation
• Ability to work autonomously across multiple data domains with limited documentation
• Strong analytical mindset and ability to spot anomalies and validate logic end-to-end
• Excellent communication skills for working with business stakeholders
• Experience across diverse data domains such as marketing, product analytics, customer care, and financial/subscription data
• Familiarity with SaaS GTM tooling and metrics such as Amplitude or HubSpot
• Experience with Python for data transformation or pipeline orchestration
• Exposure to BI/visualisation layers such as Looker, Tableau, or Power BI
• Experience in a multi-brand or portfolio company context
• Eligibility to work in Belgium; proof of work eligibility may be required
• Visa sponsorship is not available

• Diversity & Inclusion are core values
• ESG and sustainability commitment
• No relocation packages or visa sponsorship provided