Data Engineer (BigQuery & Google Analytics 4)

*** Freelance Data Engineer (BigQuery & Google Analytics 4) ***

Data Engineer

📍 Location:

🕓 Start Date:

📅 Contract Length:

💬 Language:

Key Responsibilities

• Design, develop, and maintain

  BigQuery data models

  using GA4 exported data.
• Build and optimize

  SQL queries

  for high performance and cost efficiency.
• Develop and maintain

  ETL processes

  to clean, transform, and aggregate GA4 event data.
• Create

  custom dashboards and reports

  in Looker Studio, Tableau, or Power BI.
• Implement

  data partitioning, clustering, and optimization

  techniques in BigQuery.
• Automate data workflows using

  Cloud Functions, Airflow, or dbt (Data Build Tool)

  .
• Collaborate with analytics and marketing teams to extract actionable business insights.
• Ensure

  data governance, quality, and security

  best practices are followed.

Requirements

• 3+ years of experience as a

  Data Engineer

  with strong skills in

  BigQuery

  and

  SQL optimization

  .
• Proven hands-on experience with

  Google Analytics 4 (GA4)

  event-based data in BigQuery.
• Solid understanding of GA4 schema, event structure, sessionization, and user tracking.
• Experience with

  Google Cloud Platform

  tools such as Cloud Storage, Pub/Sub, and Dataflow.
• Proficiency in

  Python

  or

  JavaScript

  for data processing (preferred).
• Knowledge of

  data visualization tools

  such as Looker, Tableau, or Power BI.

Nice to Have:

• Experience with

  dbt

  ,

  Apache Airflow

  , or other data pipeline orchestration tools.
• Background in

  digital marketing analytics or web tracking

  .

• Google Cloud certifications

  (e.g., Professional Data Engineer, BigQuery Analyst).

💼 Why Join?

• Work with a leading international client on impactful data-driven projects.
• Collaborate with cross-functional teams across analytics, marketing, and data engineering.
• Competitive daily rate and flexible working arrangements.

Interested?

Apply directly or message me here on LinkedIn to learn more about the project and next steps.