Senior Data Engineer, Data Engineering

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Within Growth Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the customer growth side of our marketplace
. We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help Get Your Guide  
acquire and retain our customers
. We achieve this through close partnership with Growth Analytics and Marketing teams
, enabling teams to move faster with confidence.

• Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention.
• Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities.
• Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production - architecture, testing, observability, performance, and cost efficiency - with a bias toward simplicity, reusability, and maintainability
  .
• Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements.
• Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability.

• Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end - from source integration through to the models and metrics that downstream teams depend on
• Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences.
• Data engineering depth: Expertise in SQL & Python
  , building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g.,
  Delta
  , Snowflake
  , PostgreSQL/MySQL
  ) with strong focus on data quality, accuracy, and reliability
  . Strong dbt proficiency and familiarity with Spark
  .
• Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g.,
  Jupyter
  ).
• Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes.
• Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery.
• Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed.
• AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance

• Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retention, Channel Attribution,…