Data Engineer

**Tech that takes you places **We’re CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities. From powering car rental to creating smarter ways to move, we make travel smoother for millions worldwide. Our culture is built on curiosity, collaboration and craic where every idea counts and every journey matters. Ready to make an impact? Let’s go places together.

As a Data Engineer at CarTrawler, you’ll play a key role in developing and optimising our Snowflake data warehouse, data models and pipelines, ensuring high-quality, scalable data solutions while leveraging technologies such as SQL, Python, Airflow, dbt and AI tooling to support business initiatives and innovation across our Product & Technology teams.

Your Journey starts here!

What you’ll do as a Data Engineer;

Build & optimise data pipelines: Design, construct, and maintain robust, scalable ETL/ELT pipelines using dbt and Airflow to integrate new data sources and manage changes to SQL jobs.

• Troubleshoot issues with existing SQL/ETL processes and data loads to drive to solution.

• Design and build extensible, well-structured data models, data products and data apps using various tools such as Snowflake functionality, Airflow, Soda, DBT, AWS, s3 and Bedrock.

• Implement and enforce best practices for data quality, standardised pipelines, testing, and documentation to ensure data is accurate, consistent, and trustworthy.

• Continuously optimise the Snowflake data warehouse, refining data models and architecture to improve query performance, scalability, and cost-efficiency.

• Ability to partner with P&T Engineering teams to co-develop functionality for the business.

What you’ll bring to the team:

3+ years of experience in a Data Engineering or similar role.

Hands-on experience with building data pipelines, data models and implementing data quality.

Experience accessing and manipulating structured or semi-structured data (JSON) in various cloud data environments.

Experience with technologies such as Snowflake, Redshift, BigQuery, Hadoop, Spark, AWS and Cloud Storage.

Expert proficiency in Python for data manipulation and scripting, advanced SQL and database stored procedures for complex querying and data modelling.

Experience with orchestration and monitoring tools such as Airflow, dbt.

Solid understanding of ETL/ELT design patterns, data modelling principles (e.g. Kimball, Inmon), and database architecture.

Experience of full stack development, implementing continuous integration and automated tests (e.g. GitHub, dbt, Jenkins).

Ability to work effectively in a fast-paced environment.

Proven ability to communicate complex analysis in a clear, precise, and actionable manner.

Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.

Excellent communication (verbal and written) and interpersonal skills.