CarTrawler

B2B car rental and mobility platform

Data Engineer

Data EngineeringPosted on Nov 6

Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

At least 3 years of experience in a Data Engineering or similar role.
Hands-on experience building data pipelines and data models, and implementing data quality.
Experience accessing and manipulating structured or semi-structured data, including JSON, in 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 and dbt.
Understanding of ETL/ELT design patterns, data modelling principles such as Kimball and Inmon, and database architecture.
Experience with full stack development, continuous integration, and automated tests using tools such as GitHub, dbt, and Jenkins.
Ability to communicate complex analysis clearly, precisely, and in an actionable manner.
Excellent verbal and written communication and interpersonal skills.

Responsibilities

Design, construct, and maintain robust, scalable ETL/ELT data pipelines using dbt and Airflow to integrate new data sources and manage changes to SQL jobs.
Troubleshoot existing SQL and ETL processes and data loads to resolve issues.
Design and build extensible, well-structured data models, data products, and data applications using tools including 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.
Partner with Product & Technology Engineering teams to co-develop business functionality.

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.

Go on, give it a go!
We know that looking for a new job can feel a bit daunting but don’t let a touch of imposter syndrome hold you back. Even if you don’t tick every box, we’d still love to hear from you! Apply today to stay connected.

At CarTrawler, we’re proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for everyone. No matter your background, identity, or life experience, if you’re passionate about what you do, you’ll be welcomed here.

Hybrid Working & Eligibility: Our hybrid working policy requires employees to work onsite at our CarTrawler Dublin office a minimum of 2 days per week (Tues & Wed).

Applicants must have an existing right to work in Ireland without the requirement for employment permit sponsorship to be considered for this role.

About the Company

CarTrawler

B2B car rental and mobility platform

CarTrawler is a B2B travel technology provider that offers a centralized Connect Platform which partners (airlines and OTAs) embed into their sites or apps to offer co-branded car rentals, airport transfers, and ride-hailing. The platform aggregates inventory from over 2,200 suppliers across 50,000 locations and uses pricing models and data-driven tools to optimize conversions and revenue. Partners incur no upfront investment; CarTrawler earns a commission on bookings. The company differentiates itself with a large global network, a strong data science capability for dynamic pricing and personalization, and an expanding multi-product suite (including insurance via Koala). CarTrawler’s goal is to help partners grow ancillary revenue by providing seamless, end-to-end mobility options to travelers worldwide.

Company size: 201-500
Company stage: Growth Equity (Venture Capital)
Total funding: $110M
Headquarters: Dundrum, Ireland
Founded: 2004

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