Hybrid Data Engineer: Snowflake, ETL & Data Apps

CarTrawler group; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

CarTrawler is seeking a Data Engineer to develop and optimise our Snowflake data warehouse, data models and pipelines. You will ensure high-quality, scalable data solutions and partner with Product & Technology teams to drive innovation across the organisation.

The role requires 3+ years in data engineering, proficiency with Python and SQL, and hands-on experience with Airflow, dbt, and cloud data services. Hybrid work from our Dublin office is available.

Qualifications

• 3+ years of experience in data engineering.
• Hands-on experience building pipelines, data models and data quality.
• Experience handling structured and semi-structured data (JSON) in cloud environments.
• Proficiency with Snowflake, Redshift, BigQuery, Hadoop, Spark, AWS and Cloud Storage.
• Expert Python for data manipulation and scripting; advanced SQL skills.
• Experience with orchestration/monitoring tools like Airflow and dbt.
• Knowledge of ETL/ELT design patterns and data modeling principles.
• CI/CD experience with GitHub, dbt and Jenkins.

Responsibilities

• Build and optimise robust, scalable ETL/ELT pipelines using dbt and Airflow.
• Troubleshoot issues in SQL/ETL processes and data loads.
• Design and build extensible data models, data products and apps.
• Enforce data quality, testing, and documentation across pipelines.
• Continuously optimise the Snowflake warehouse for performance and cost.
• Collaborate with Product & Technology teams to co-create data solutions.

Skills

Data engineering exp

Data pipelines

Data modeling

JSON data handling

Python

SQL

Communication

Tools

Snowflake

Redshift

BigQuery

Hadoop

Spark

AWS

Cloud Storage

Airflow

dbt

Job description

CarTrawler is seeking a Data Engineer to develop and optimise our Snowflake data warehouse, data models and pipelines. You will ensure high-quality, scalable data solutions and partner with Product & Technology teams to drive innovation across the organisation.

The role requires 3+ years in data engineering, proficiency with Python and SQL, and hands-on experience with Airflow, dbt, and cloud data services. Hybrid work from our Dublin office is available.