Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Dublin, IRL
Hybrid
Mid level
Software
The Role
Build and optimize scalable data pipelines, models, data products, and data applications using Snowflake, dbt, Airflow, AWS, SQL, and Python. Ensure data quality through testing, documentation, and standardized ETL/ELT practices. Optimize warehouse performance, scalability, and cost efficiency while troubleshooting data processes and partnering with Product and Technology engineering teams.
Summary Generated by Built In
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.

Skills Required

  • 3+ years of experience in data engineering or a similar role
  • Hands-on experience building data pipelines and data models
  • Experience implementing data quality practices
  • Experience accessing and manipulating structured or semi-structured JSON data in cloud environments
  • Experience with Snowflake, Redshift, BigQuery, Hadoop, Spark, AWS, and cloud storage
  • Expert proficiency in Python for data manipulation and scripting
  • Advanced SQL and database stored procedure experience for complex querying and data modeling
  • Experience with orchestration and monitoring tools such as Airflow and dbt
  • Understanding of ETL/ELT design patterns, data modeling principles, and database architecture
  • Experience with full-stack development, continuous integration, and automated testing
  • Experience with tools such as GitHub, dbt, and Jenkins
  • Ability to work effectively in a fast-paced environment
  • Ability to communicate complex analysis clearly, precisely, and actionably
  • Ability to work creatively and analytically in problem-solving environments
  • Excellent verbal, written, and interpersonal communication skills
Am I A Good Fit?
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The Company
HQ: Dublin, County Dublin
469 Employees
Year Founded: 2004

What We Do

The leading global B2B provider of car rental and mobility solutions to the travel industry. Our purpose is driving successful partnerships. CarTrawler’s end-to-end technology platform expands our airline and travel partners’ offering to their customers, creating substantial ancillary revenue opportunities. We provide unrivalled breadth and depth of content worldwide, including car rental, private airport transfer and ride-hailing services. CarTrawler creates innovative, data-led solutions for some of the largest travel brands in the world, including United Airlines, American Express, easyJet, Alaska Airlines, SWISS, Hotels.com and Emirates. As a B2B company we focus solely on helping our airline and travel partners build their brands, not our own.

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