We are seeking an experienced Senior Data Engineer to join our team. As a key member of our data engineering department, you will play a crucial role in designing and implementing scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Key Responsibilities: - Contribute to the design and implementation of a lakehouse solution, leveraging technologies such as Iceberg, Snowflake, and BigQuery. - Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. - Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. - Ensure data quality, governance, security, and compliance across pipelines and data stores. - Monitor, troubleshoot, and improve the performance of data systems and pipelines. Requirements: - 5+ years of hands-on experience in data engineering, with at least 2 years working with Bigquery or Snowflake. - Strong programming skills in Python for data processing and automation. - Advanced proficiency in SQL for querying and transforming large datasets. - Solid understanding of data modelling, warehousing, and performance optimization techniques. - Proven experience in data cataloging and inventorying large-scale datasets. Benefits: This is an excellent opportunity to work with a talented team of data engineers and scientists, and to contribute to the development of innovative data solutions. You will have the chance to work on challenging projects, collaborate with cross-functional teams, and grow your career in a dynamic and supportive environment.