Analytics Engineering Chapter Lead (Budapest)

Analytics Engineering Chapter Lead (Budapest)
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We are looking for an experienced Analytics Engineering Chapter Lead to define, develop, and evolve enterprise-level analytical data layers and modeling standards.

Analytics Engineering Chapter Lead

Tasks

  • Data Modeling: Design and maintain performance-optimized, denormalized structures for reporting and analytics.
  • Pipeline Optimization: Build and refine transformation pipelines between core data layers and the reporting front-end.
  • Standards & Governance: Define and enforce naming conventions, modeling guidelines, and engineering best practices.
  • Technical Leadership: Mentor Analytics Engineers, conduct code reviews, and ensure high-quality output.
  • Stakeholder Collaboration: Act as a bridge between Data Engineers and BI developers to translate requirements into robust data structures.
  • System Improvement: Continuously scale and optimize analytical datasets for better maintainability.

Requirements

  • SQL: Advanced skills for complex transformations and performance tuning.
  • DBT (data build tool): Extensive experience in managing transformation frameworks.
  • Azure Synapse: Proven experience in cloud-based data warehousing.
  • Power BI: Ability to design high-performance layers specifically for BI consumption.
  • Data Architecture: Solid understanding of dimensional modeling and denormalization.
  • Technical Leadership: Ability to make architectural decisions and lead a technical team.

Nice to Have

  • Databricks: Experience with Spark-based processing is a significant plus.
  • Modern Workflows: Familiarity with CI/CD, version control (Git), and automated testing of data models.
  • Large Ecosystems: Experience working with diverse data consumers (Data Science, BI, and Finance).

Offers

  • Full Remote Opportunity
  • Friendly & Family-like Atmosphere
  • Professional Growth
  • Work-Life Balance

Workplace

Budapest

Budapest

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