⭐ How will you make an impact?

• Design, build, and maintain scalable data pipelines and infrastructure using our core data stack
• Implement data quality checks, monitoring, and contribute to data governance practices
• Develop and optimise data models using dbt for analytics and operational use cases
• Troubleshoot data issues, potentially assisting with tracking implementation problems
• Ensure data infrastructure supports downstream consumers, including analytics and potentially future AI/ML initiatives
• Collaborate with analysts and stakeholders to ensure data accessibility for visualisation and operational syncing (Hightouch)
• Optimise performance and cost-efficiency of the data platform
• Mentor team members and promote data engineering best practices.

⭐ What makes you a great fit?

• 7+ years in data engineering, with significant hands-on experience using modern data stack tools
• Advanced SQL, proficient Python for data engineering tasks, strong data modeling and warehousing fundamentals
• Proven experience with tools like orchestration (e.g., mage.ai, Airflow), dbt, ELT solutions (e.g., Fivetran, Airbyte)
• Experience with a cloud platform (GCP, AWS, Azure)
• Track record of building and maintaining reliable, end-to-end data pipelines in production
• Ability to work effectively with cross-functional teams and clearly communicate technical concepts
• Strong analytical and troubleshooting skills.

⭐ How can you earn extra bonus points?

• Knowledge of JavaScript/Frontend for tracking and troubleshooting
• Experience with BI/visualisation tools
• Familiarity with Machine Learning concepts and the data requirements for training and deploying models
• Familiarity with event-driven architectures or data privacy regulations (GDPR)
• SaaS or Travel/Hospitality industry experience.