Data Engineer - Digital Telemetry & Analytics (Hybrid)

CarTrawler group; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

CarTrawler in Ireland is seeking a Senior Data Engineer to own the digital and behavioural telemetry data, combining web and RUM signals to enable trusted analytics across products and partner experiences.

You will partner with Product and Tech teams to instrument events, define contracts, build governed data products, and improve data quality, security, and observability across the Data Engineering platform.

Qualifications

• 5-7+ years' experience in data engineering, digital analytics engineering, or a related technical role with senior ownership.
• Hands-on experience with digital behavioural/telemetry data in production using an event collection platform (Snowplow, Adobe Experience Platform, GA).
• Advanced SQL and Python skills, with cloud data platforms (Snowflake, dbt, AWS).
• Experience designing event taxonomies, schemas, data contracts, and metadata for web/product telemetry.
• Strong knowledge of digital analytics, conversion measurement, funnels and KPIs.

Responsibilities

• Shape unified behavioural data models across customer actions and journey stages.
• Integrate web telemetry and Real User Monitoring to surface reliable data.
• Define event tagging, naming, context, and versioning with reusable contracts.
• Engineer governed data products measuring performance across journeys and funnels.
• Turn needs into reusable data structures and contribute to central definitions repo.
• Ensure data quality, security, and lifecycle have automated testing and monitoring.

Skills

Senior ownership

SQL

Python

Cloud data platforms

Data engineering

Observability

Stakeholder comms

Tools

Snowplow

Adobe Experience Platform

Google Analytics

Snowflake

dbt

Job description

CarTrawler in Ireland is seeking a Senior Data Engineer to own the digital and behavioural telemetry data, combining web and RUM signals to enable trusted analytics across products and partner experiences.

You will partner with Product and Tech teams to instrument events, define contracts, build governed data products, and improve data quality, security, and observability across the Data Engineering platform.