Analytics Engineer
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* Design and build robust dbt models on Databricks to produce clean, conformed datasets
* Define KPI logic with stakeholders to ensure consistent metrics across domains
* Maintain and evolve the semantic/presentation layer with reliable, tested data products
* Apply software engineering practices to analytics code, including version control, testing, CI/CD, and documentation
* Onboard new data domains independently, exploring structure and modelling decisions
* Engage domain owners to validate context and align on KPI definitions
* Identify data quality issues early and coordinate with Data Management to resolve at the source
* Bridge data engineers and analysts by translating analytical needs into engineering tasks and ensuring the presentation layer meets reporting needs
* Contribute to data governance through naming conventions, lineage, and model cataloguing
* Support extending analytics coverage to new brands and domains over time Requisiti fondamentali
* 5+ years in analytics engineering, data engineering, or related data role
* Strong, hands-on dbt (dbt Core or dbt Cloud) proficiency
* Experience with Databricks or comparable cloud platforms (Snowflake, BigQuery)
* Solid understanding of dimensional modelling or data warehousing patterns
* SQL excellence with complex transformations and window functions
* Ability to work autonomously across multiple data domains with limited documentation
* Strong analytical mindset to interrogate data and validate logic end-to-end
* Excellent communication skills with business stakeholders
* Experience across diverse data domains (marketing, product analytics, customer care, financial/subscription data)
* autonomy
* curiosity
* proactiveness
* dbt (Core/Cloud)
* Databricks or equivalent cloud platform
* SQL
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