Data Engineer

• Take ownership of pipeline stability and performance across our GCP-based stack (BigQuery, GCS, Dataprep/Dataflow)
• Lead the enhancement of our existing ETL workflows to support better modularity, reusability, and error handling
• Help introduce

  lightweight governance practices

  —including column-level validation, source tracking, and transformation transparency
• Support development of a

  semantic layer

  (e.g., KPI definitions, normalized metric naming) to reduce rework and support downstream users
• Work with analysts and dashboard developers to structure data outputs for intuitive use and parameterization
• Collaborate with team leadership to

  prioritize improvements

  based on impact and feasibility
• Support platform readiness for

  automated reporting

  ,

  predictive modeling

  , and

  AI-enhanced analysis

• Contribute to team culture through clear documentation, mentoring, and code review
• Participate in hiring, onboarding, and evolving our internal standards

What We’re Looking For

Must-Have:

• 4–6+ years of experience in data engineering, preferably in a fast-paced agency or multi-client environment
• Solid command of

  Google Cloud Platform

  , especially BigQuery, GCS, and Cloud Dataprep (Alteryx) or Dataflow
• Strong SQL and Python skills with a focus on transformation and data reliability
• Experience building and maintaining ETL pipelines in production
• Familiarity with

  metadata-driven development

  , version control, and task orchestration (Airflow or equivalent)
• Proven ability to balance individual execution with team collaboration
• Clear communicator, able to translate technical trade-offs to non-technical stakeholders

Nice-to-Have:

• Experience applying basic

  data governance

  principles (e.g., lineage tracking, validation frameworks, naming conventions)
• Exposure to building or maintaining a

  semantic layer

  (via dbt, LookML, etc.)
• Familiarity with AI/ML workflows or tooling for automated insight generation
• Understanding of marketing or media datasets
• Experience developing custom marketing attribution models
• Experience mentoring junior team members or participating in code/process standardization