Senior Data Engineer (Digital & Behavioural Telemetry)

Join CarTrawler as a Senior Data Engineer, where you'll own the engineering and evolution of digital behavioral and telemetry data. You'll work closely with Product & Technology engineering teams to ensure consistent, contextualized data for analytics. Your role will involve shaping unified behavioral data models, defining event tagging and contracts, engineering governed data products, and enabling data and analytics. You'll also focus on data quality, security, and lifecycle management, while acting as a senior technical SME for analysts, P&T teams, and partners.

• Assurer la responsabilité technique senior pour le domaine de la télémétrie numérique et comportementale, en travaillant en étroite collaboration avec les équipes d'ingénierie produit et technologie.
• Développer et faire évoluer des produits de données régis qui mesurent la performance à travers les parcours numériques clés et les entonnoirs d'acquisition et de revenus.
• Collaborer avec les équipes d'ingénierie de données pour transformer les signaux en produits de données réutilisables et en métriques certifiées.

• 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
• Experience designing event taxonomies, schemas, data contracts, versioning and metadata for web or product telemetry, including semi-structured JSON data
• 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
• 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
• 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
• 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
• 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
• Experience implementing data quality, automated testing, schema-change controls, privacy, classification, access, retention and lifecycle practices for telemetry or behavioural data
• 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
• Understanding of RUM(real user monitoring) and observability concepts including metrics, logs, traces, correlation, instrumentation and the relationship between technical performance and customer experience
• 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