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Senior Data Engineer to own and scale a GCP-based data warehouse, build robust pipelines, and unify diverse data sources for a leading online education group.
Build and maintain automated data pipelines in Python and GCP, cleaning and validating large datasets while integrating Google Sheets, BigQuery, and APIs.
Build and maintain scalable data pipelines and cloud infrastructure to move raw client data into clean, secure warehouses for BI and future AI/ML use.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Build and maintain scalable data pipelines and models for a mobile-gaming company, enabling analytics and AI-driven workflows with Python, SQL, and cloud warehouses like Snowflake.
Senior Data Engineer to design and build a greenfield data infrastructure for AI-driven growth, including pipelines, warehousing, and analytics for product, CRM, finance, and marketing teams.
Build and maintain scalable data pipelines and models for mobile game analytics, using Python, SQL, and cloud warehouses like Snowflake to power monetization and A/B testing insights.
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Design and build cloud-native data pipelines on GCP to power analytics and AI, ensuring scalable, governed, and secure data platforms for enterprise use.
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Build and maintain Google Cloud-based media data pipelines, ETL processes, and dashboards to track billions of ad impressions and drive ad-tech performance insights.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Build and maintain AI-driven data pipelines and products for a hospitality-focused tech company using Python and cloud databases like BigQuery.
Build and maintain the data stack for a health/beauty ecommerce company, including BigQuery pipelines, Looker Studio dashboards, and marketing attribution models to drive smarter decisions.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Build and maintain a Kotlin backend and React/TypeScript frontend for a European fintech’s corporate card platform, using AI-native engineering practices and AWS/GCP infrastructure.
Designs and builds GCP-based ETL/ELT pipelines and data governance workflows using BigQuery, Dataflow, Airflow, and related tools.
Builds full-stack Python (FastAPI) and React/TypeScript apps for automotive projects, querying BigQuery and running CI/CD with Docker and GitHub Actions.
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