Business Intelligence Engineer

2 days ago


Stockholm, Stockholm, Sweden Happy Socks Full time

About the Company

At Happy Socks, we believe in using technology to drive business insights and operational efficiency. Our innovative approach involves leveraging data to make informed decisions and improve our operations.

About the Role

This is an exciting opportunity for a Business Intelligence Engineer to join our growing data engineering team. As the successful candidate, you will oversee the completion of the initial project, shape our overall data strategy, and guide data modeling and transformation initiatives.

Key Responsibilities
  • Data Architecture: Architect and oversee the operational health of data pipelines and systems, establishing monitoring frameworks and quality standards.
  • Team Leadership: Project manage the outcomes of a small team of data engineers, providing technical guidance and ensuring best practices in implementation.
  • Data Quality: Drive data quality initiatives and establish governance frameworks throughout all stages of data processing.
  • Data Integration: Guide the design and implementation of scalable data pipelines to support ELT/ETL processes and data warehousing, working with various data sources and ingestion/transformation tools.
  • Collaboration: Partner with analytics specialists, analysts, and other teams to translate business requirements into technical specifications.
  • Architecture Maintenance: Oversee the maintenance and evolution of our Data Warehouse architecture.
  • Data Modeling: Define data modeling and transformation frameworks aligned with business processes, ensuring proper implementation by the team.
  • Standards Establishment: Establish standards for serving data in downstream applications like reports or dashboards.
  • Best Practices Implementation: Drive the implementation of best practices for versatility, reliability, ease of maintenance of the data platform as well as data governance, security, and compliance.
  • Optimization: Guide the optimization of data storage solutions, focusing on performance, cost, and scalability.


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