Senior Data Engineer - Hybrid
I'm currently working with a client who looking for an experienced Senior Data Engineer to lead a large-scale, greenfield data transformation project for a well-established, independent travel business.
This is a great opportunity to design and build a brand-new data warehouse and architecture from the ground up. You'll shape the future of their data strategy, lead key migrations, and build scalable pipelines to power analytics and business intelligence across the company.
What You'll Do
* Architect and implement a modern data warehouse solution
* Lead data migration from legacy systems with minimal disruption
* Design and build robust ETL/ELT pipelines
* Apply best-practice data modelling techniques (e.g., star schema)
* Implement data quality and staging processes
* Leverage cloud infrastructure (AWS, GCP, or Azure)
* Collaborate with stakeholders across the business
* Provide technical leadership and guidance
What You'll Bring
* Strong experience as a Data Engineer or Data Architect
* Expertise in ETL/ELT, SQL, and data modelling
* Proficiency with modern data warehousing tools (e.g., BigQuery, Redshift, Snowflake)
* Cloud platform experience (AWS, GCP, Azure)
* Great communication and stakeholder engagement skills
* Bonus if you have: Python scripting, Git, Spark/Hadoop, or travel industry data knowledge