Lead an agile team of Data Engineers at Trainline. Build and activate customer data foundations for personalized marketing and insights across channels.
Responsibilities
Lead and coach an agile team of Data Engineers, Martech and Machine Learning Engineers deeply embedded in the business
Build reliable pipelines, high-quality data assets and re-usable audiences using dbt, Spark, SQL, Python, Airflow on AWS
Activate data for personalization, marketing and advertising using Census, Braze, Google Cloud Platform, Meta, Tiktok, Snap and others
Be a people manager that motivates and engages their team
Lead the technical direction of the cross-functional team
Partner with product managers to build a compelling and high-impact roadmap
Foster an obsession with quality and engineering excellence through automated processes using CI/CD, TDD, BDD
Own the operation of the products built by your team
Drive incremental growth in engineering maturity
Oversee the tagging and event instrumentation strategy
Partner with Legal and Privacy teams to define and embed consent management and data governance best practices
Design and scale integrations between marketing platforms, analytics systems and CRM
Seek opportunities to embed the latest in LLM and other AI technologies in our data products
Requirements
People management and technical leadership experience
Passionate about agile software delivery with a track record of leading effective agile and lean software teams
A consistent background in software development in high volume environments
Background in Dev Ops, deploying, managing and maintaining services using Docker, Terraform and AWS CLI tools to achieve infrastructure-as-code and automated deployments
Excellent working knowledge of AWS services (EMR, ECS, IAM, EC2, S3, DynamoDB, MSK)
Grounding in web/app tracking for analytics and marketing
Familiarity with analytics and activation platforms such as GA4, Census, HighTouch, Segment, Tealium, Braze, Salesforce Marketing Cloud, or equivalent tools
Understand data privacy and consent frameworks (e.g. GDPR, CCPA) and their technical implementation in tagging and activation systems.
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