Senior Data Engineer at CarTrawler
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

11 Jan, 27

Salary

50000.0

Posted On

13 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • 5-7+ years' experience in data engineering, digital analytics engineering, product telemetry or a related technical role, with evidence of senior ownership across production data products and cross-team delivery.
  • Strong hands-on experience engineering digital behavioural or telemetry data in a production environment, using an event collection platform such as Snowplow, Adobe Experience Platform , Google Analytics or a comparable technology. 
  • Practical experience with event tracking and telemetry concepts such as schemas, enrichments, event contexts, processing pipelines and warehouse data models, including local development, debugging and testing approaches. 
  • Advanced SQL and strong Python skills, with hands-on experience using modern cloud data platforms and transformation tooling; such as Snowflake, dbt , AWS  or similar technology stack. 
  • Experience designing event taxonomies, schemas, data contracts, versioning and metadata for web or product telemetry, including semi-structured JSON data. 
  • Strong understanding of digital analytics and conversion measurement, including behavioural funnels, search and booking progression, landing and entry-point performance, attribution, journey progression and behavioural KPIs. 
  • Experience modelling high-volume event data into reusable facts, dimensions and data products that support both detailed investigation and governed business reporting. 
  • Understanding of RUM(real user monitoring) and observability concepts including metrics, logs, traces, correlation, instrumentation and the relationship between technical performance and customer experience. 
  • Experience implementing data quality, automated testing, schema-change controls, privacy, classification, access, retention and lifecycle practices for telemetry or behavioural data. 
  • Strong stakeholder and partner communication skills, with the ability to explain complex event and telemetry data to analysts, engineers, product teams and non-technical consumers. 
  • Working knowledge of Git, CI/CD, automated testing and documentation practices, with a track record of improving engineering standards and enabling others to work independently. 

Responsibilities
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