Senior Analytics Engineer

This is a fully remote position, open to applicants in Belgium.

📋 Description

• Develop and create robust dbt models within the Databricks environment.

• Convert raw ingested data into organized, standardized, and analytics-ready datasets.

• Collaborate with business and analytics stakeholders to define and implement KPI logic.

• Ensure the maintenance and evolution of reliable, tested, documented, and high-performing semantic and presentation layers.

• Utilize software engineering best practices, including version control, testing, CI/CD, and documentation.

• Independently onboard and investigate new data domains.

• Engage with business partners and domain owners to grasp context and validate assumptions.

• Identify data quality challenges and collaborate with Data Management to address them at the source.

• Translate analytical requirements into engineering tasks and effectively communicate data realities to the business.

• Assist with reporting and self-service requirements.

• Contribute to data governance, including naming conventions, lineage documentation, and model cataloging.

• Expand analytics coverage to include new brands and domains.

• Report to the Director of Analytics and work alongside data engineers, analytics engineers, and business stakeholders.

⛳️ Requirements

• Over 5 years of experience in analytics engineering, data engineering, or a closely related data position.

• Strong hands-on experience with dbt (dbt Core or dbt Cloud).

• Familiarity with Databricks or a similar cloud data platform such as Snowflake or BigQuery.

• Solid understanding of dimensional modeling, data vaults, or comparable data warehousing patterns.

• Exceptional SQL skills, including complex transformations, window functions, and query optimization.

• Ability to work independently across multiple data domains with minimal documentation.

• Strong analytical mindset with the capability to identify anomalies and validate logic end-to-end.

• Excellent communication skills for effective collaboration with business stakeholders.

• Experience in various data domains such as marketing, product analytics, customer care, and financial/subscription data.

• Familiarity with SaaS GTM tools and metrics, such as Amplitude or HubSpot.

• Proficiency in Python for data transformation or pipeline orchestration.

• Exposure to BI/visualization tools such as Looker, Tableau, or Power BI.

• Experience working in a multi-brand or portfolio company environment.

• Eligibility to work in Belgium; proof of work eligibility may be necessary.

• Visa sponsorship is not available.

🏝️ Benefits

• Diversity and Inclusion are fundamental values.

• Commitment to ESG and sustainability.

• No relocation packages or visa sponsorship provided.