The Role
We are building a modern cloud-native data platform on Google Cloud and looking for a hands-on Senior Data Engineer to own the transformation layer from raw source data through to analytics-ready models that power business reporting and decision-making. Our stack and processes are still evolving, so you'll help shape architecture and standards, not just inherit them.

What You’ll Do
Design, build, and maintain layered data transformation pipelines in BigQuery (staging, integration, warehouse/mart models)
Ensure pipeline reliability through automated testing, CI/CD with Git-based development workflow, scheduling, and monitoring
Optimize cloud data warehouse performance and compute costs (partitioning, clustering, slot/usage management)
Collaborate with analysts and BI developers to deliver trusted, well-documented data
Contribute to platform and tooling decisions as we mature our data infrastructure

What You’ll Bring
3+ years in data engineering or analytics engineering
Hands-on BigQuery (preferred), Snowflake, or Redshift experience in production
Experience with a SQL-based transformation framework - Dataform or dbt Core
Strong SQL - window functions, CTEs, complex joins, performance optimization
Python proficiency - writing clean, reusable code for data pipelines, scripting, and automation
Data modeling fundamentals - staging layers, dimensional modeling, fact and dimension tables
Experience with data ingestion or CDC pipelines into a cloud warehouse
Strong communication skills - able to explain data models, trade-offs, and pipeline issues clearly to non-technical stakeholders, including senior leadership
An entrepreneurial, builder mindset - comfortable with ambiguity, evolving requirements, and making pragmatic decisions when the playbook doesn't exist yet
Strong critical thinking and problem-solving - you question source data, challenge requirements, and translate ambiguous business problems into well-structured data models rather than building the ticket as written

Nice to have
Broader GCP ecosystem experience: Cloud Composer/Airflow, Dataflow, Pub/Sub, GCS, Datastream
E-commerce or grocery/retail domain experience
Familiarity with marketing analytics data such as campaign, CRM, clickstream, or event-tracking data (e.g., Braze, Mixpanel, GA4)
Experience with a BI tool (Power BI, Tableau, Looker)
Data quality and observability tooling

Senior Data Engineer

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