Data Engineer B2C
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You will work closely with Product, Marketing, Analytics, and Data teams to develop reliable and scalable data pipelines that power customer analytics, engagement measurement, attribution, experimentation, and business intelligence. The ideal candidate is passionate about understanding customer behaviour, building robust data products, and enabling data-driven decision-making across the ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT processes using Python and SQL.
Build reliable data pipelines that ingest and process data from web, mobile, marketing, and customer data is available, accurate, and accessible for analytics and reporting.
Work with large-scale customer and event-level datasets to generate meaningful business insights.
Ensure event data is accurately captured, validated, and available for downstream analytics use.
Integrate and manage data pipelines from marketing, acquisition, and advertising stakeholders understand customer acquisition performance and marketing ROI.
Required Experience3+ years of experience in Data Engineering.
Strong proficiency in SQL and Python.
Experience working with B2C, customer, consumer, product, or marketing experience building and maintaining ETL/ELT pipelines.
Experience with cloud-based data platforms such as:BigQuerySnowflakeRedshiftStrong understanding of:Customer data modelsUser engagement analyticsConversion funnelsRetention metricsCustomer lifecycle analysisExperience integrating data from web, mobile, and marketing with version control, testing frameworks, and software engineering best practices.
Preferred ExperienceExperience with GA4, including BigQuery Export.
Experience with Snowplow event trackingExperience with modern transformation frameworks such as dbt.
Experience with Docker, Kubernetes, or cloud-native deployment environments.
Data Engineer B2C in Abu Dhabi, United Arab Emirates.
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