Senior Data Engineer, Resourcify

• 5+ years of experience in data engineering or similar roles
• Strong proficiency in Python and SQL
• Hands-on experience with Airflow/Cloud Composer, dbt, and BigQuery (or similar modern data warehouse solutions and cloud-based infrastructure)
• Solid understanding of data modeling, orchestration, testing, and data engineering best practices
• Experience building scalable, reliable data pipelines in production environments
• Strong collaboration and communication skills, with the ability to work closely with engineers, analysts/scientists, and product managers
• Experience mentoring, conducting code reviews, and promoting team-wide engineering best practices, preferably in a cross-functional team context
• Experience contributing to architecture and design decisions in data platforms

Desirable

• Design, build, and maintain scalable ELT pipelines in our modern data stack (Cloud Composer, Airflow, dbt, BigQuery, GitLab). You bring industry experience working with data infrastructure, platform and services - we work with Google Cloud so experience with that is a plus, but modern cloud-based stack experience is valuable too
• Develop and maintain robust data models that power analytics, reporting, and product features, ensuring they follow best practices for performance and maintainability
• Manage and optimise data infrastructure, including Cloud Composer environments and related GCP resources, in close collaboration with our infrastructure team
• Implement orchestration, testing, and monitoring to ensure data quality, reliability, and traceability across the data warehouse
• Troubleshoot pipeline or environment errors quickly and effectively
• Collaborate closely with backend and frontend engineers (our backend is mostly in Java) to ensure seamless integration of data models and pipelines into the product
• Contribute to architectural decision-making, e.g. by writing and reviewing RFCs, applying data engineering design patterns, and following architectural best practices
• Promote documentation and knowledge sharing, ensuring our data systems and processes are transparent and accessible across the company
• Mentor and support other engineers, fostering a culture of growth and continuous improvement within the team