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Data Engineer / BI Engineer

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Summary

A Data Engineer / BI Consultant designs, builds, and optimizes data pipelines and reporting in a Snowflake environment for a specialized consultancy serving a leading international aviation company. Day-to-day work centers on SQL, Linux/Bash, and a Data Mesh architecture blending Data Lake and Data Warehouse, supporting analytics across global business functions.

Our client is a specialized consultancy company with a unique market position, having worked exclusively with the same international aviation industry leader for more than 15 years. This long-term partnership offers an exceptional combination of stability, expertise, and continuous technological evolution.

Operating within a highly international environment, the company supports business-critical data and analytics initiatives that enable strategic and operational decision-making across multiple regions and business functions. Thanks to its close relationship with its client, employees benefit from the scale, complexity, and career opportunities of a large multinational organization while enjoying the agility, accessibility, and human-sized culture of a smaller consultancy structure.

As a Data Engineer / BI Consultant, you will contribute to the design, development, maintenance, and optimization of the organization's data ecosystem.

Your responsibilities will include:

  • Developing, maintaining, and optimizing data pipelines within a Snowflake environment.
  • Working with SQL and Linux/Bash to support data integration, automation, and transformation processes.
  • Implementing and maintaining solutions within a modern Data Mesh architecture combining Data Lake and Data Warehouse principles.
  • Ensuring the reliability, scalability, and performance of data flows and reporting solutions.
  • Collaborating closely with international business stakeholders located across multiple countries and time zones.
  • Gathering business requirements and translating them into sustainable and efficient data solutions.
  • Supporting the continuous improvement of reporting, analytics, and Business Intelligence capabilities.
  • Contributing to data quality, governance, and optimization initiatives.
  • Participating in ongoing projects related to cloud data platforms and digital transformation.

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