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Data Engineer - Analytics & BI

Bluebird

Responsibilities:

  • Data Engineering & Architecture
  • Write and optimize complex SQL queries and perform ad-hoc data analysis
  • Build and maintain data pipelines and ETL/ELT processes
  • Automate data workflows and develop data tools using Python
  • Design, implement, and maintain scalable data transformations and pipelines
  • Develop and optimize data models (fact and dimension structures)
  • Ensure data quality, consistency, and availability across systems
  • (Optional) Work with medallion architecture and tools such as dbt
  • (Optional) Manage and optimize data platforms (e.g., Snowflake)
  • Data Analysis & Reporting
  • Develop and maintain dashboards and reports to support business decision-making
  • Analyze data, identify trends, and deliver actionable insights
  • Define, calculate, and monitor KPIs and business metrics
  • Translate business requirements into analytical solutions and data models
  • Perform ad-hoc analyses and deep-dive investigations
  • Apply best practices in data modeling (e.g., Star Schema)
  • Business Collaboration
  • Gather, clarify, and refine requirements from business stakeholders
  • Act as a bridge between technical teams and business users
  • Communicate insights in a clear, structured, and business-friendly way

Technologies & Tools:

  • SQL – data querying and transformation
  • Python – automation and advanced analytics
  • Power BI / Qlik – reporting and visualization
  • Azure Data Factory – data integration
  • Snowflake – data warehousing and modeling
  • Git – version control

The ideal candidate:

  • Combines analytical thinking with engineering skills
  • Understands both technical data structures and business context
  • Can independently transform raw data into business insights
  • Focuses on scalability, data quality, and maintainability

What we offer:

  • Flexible hybrid working and a competitive compensation package
  • Opportunities to shape the future of our data platform and BI landscape
  • Modern technologies including Snowflake, Azure Data Factory, Power BI, Python, dbt and Terraform
  • An end-to-end Data Engineering & Analytics role with real ownership
Vacancy posted 19 hours ago
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