What you'll do:

• Design, develop, and maintain robust data pipelines and ETL processes.
• Work extensively with Snowflake to implement and optimize data storage solutions.
• Utilize Data Vault methodology for data modelling and architecture.
• Write, optimize, and troubleshoot complex SQL queries to support data integration and reporting.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data accuracy, consistency, and security across all data platforms.
• Monitor and maintain data systems, ensuring high availability and performance.
• Participate in code reviews and contribute to the overall improvement of the data engineering processes.

What makes you a great fit:

• Snowflake: Hands-on experience with Snowflake data warehousing solutions.
• SQL: Very strong proficiency in SQL for data manipulation, transformation, and reporting.
• Data Vault: Experience with Data Vault modelling for building scalable, flexible data architecture.
• 6-8 years of experience in data engineering or a similar role.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Excellent communication and collaboration skills.