Senior Data Engineer
Required skills
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
Preferred skills
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
Technologies
dbt, Fivetran, Airbyte, mage.ai, Airflow, GCP, AWS, Azure, SQL, Python, Hightouch
Responsibilities
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
Seniority
Senior
Domain
Vacation rental, SaaS, Travel, Hospitality