Corsearch

Senior Data Engineer, Analytics & Reporting

Corsearch

full-time

Posted on:

Origin:  • 🇫🇷 France

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Job Level

Senior

Tech Stack

AirflowApacheCloudETLPostgresSQL

About the role

  • Design, build, and maintain scalable data pipelines to integrate data from various business units into a unified data lakehouse
  • Automate data workflows to ensure accurate, timely, and efficient data availability for reporting and analytics
  • Optimize database performance, ensuring efficient data retrieval and fast query execution across large datasets
  • Develop robust ETL/ELT processes to support both internal analytical needs and external client data feeds
  • Work closely with analysts, data scientists, and business stakeholders to deliver optimized standard reports and custom data feeds for clients
  • Maintain and enforce consistent metric definitions and canonical queries across all reports and analytics to ensure data consistency and accuracy
  • Collaborate with cross-functional teams to maximize the effective use of tools like Power BI, Snowflake, ClickHouse, and Looker for reporting and visualization purposes
  • Evaluate and recommend new technologies, tools, and best practices for data storage, transformation, and reporting
  • Contribute to the ongoing evolution of the team’s data stack and infrastructure, implementing improvements that enhance performance, scalability, and reliability
  • Ensure data integrity, security, and governance protocols are upheld across all data assets and pipelines, aligning with company and regulatory standards

Requirements

  • Strong experience in SQL and database management (e.g., PostgreSQL, ClickHouse, Snowflake)
  • Proficiency in data pipeline development and ETL/ELT processes
  • Experience with workflow automation and orchestration tools (e.g., Apache Airflow, dbt, Airbyte, or similar)
  • Familiarity with business intelligence tools such as Power BI, Looker, or other BI platforms
  • Experience working with cloud-native data warehouse and lakehouse architectures
  • Knowledge of data modeling and schema design
  • Track record of writing efficient queries and managing large datasets
  • Ability to work independently and collaboratively in a fast-paced, evolving environment
  • Strong problem-solving skills and attention to detail