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Build and maintain data pipelines, model tables in Snowflake, and create Metabase dashboards to help a fast-growing French proptech SaaS optimize its fiscal-property platform.
Build and maintain a modern data platform (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability, and observability while supporting internal data products and AI workloads.
Senior Data Platform Engineer builds and runs a modern data stack (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability and security while enabling AI use cases and internal data products.
Senior data engineer building and securing data pipelines on Snowflake, dbt, Airflow and Airbyte, ensuring data quality and observability while collaborating with cross-functional teams.
Build and maintain ELT pipelines, model data in a warehouse, and create Metabase dashboards to deliver clean, actionable insights for an e-commerce startup.
Build and scale EVA’s data infrastructure (BigQuery, dbt, Lightdash) to track player behavior, arena performance, and franchise KPIs, then deliver self-service dashboards and analytics that drive business decisions across marketing, operations, and game teams.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and maintain a reliable data infrastructure, automate pipelines, and create dashboards to support decision-making and self-service analytics for a fast-growing edtech startup.
Lead Data Engineer to build and scale data pipelines and warehouses for a B2B startup serving hotels, using Python, SQL, Airflow, dbt, and cloud services.
Builds and optimizes data pipelines in Snowflake and DBT, ensuring clean, governed data for analytics and reporting across the company.
Lead the design and scaling of Alma’s data platform, integrating PostgreSQL with GCP, enforcing engineering standards, and enabling AI use cases while mentoring peers.
Senior Data Engineer builds and modernizes scalable data pipelines and dbt models to power a global e-commerce platform, migrating legacy systems and enabling data-driven decisions across brands and markets.
Build and maintain Chance’s data stack: migrate PostgreSQL to ClickHouse, set up pipelines with DBT/Airbyte/Prefect, and ensure reliable analytics for a dating platform.
Build and maintain production data pipelines and warehouses for an AI safety platform, using SQL, Python, and modern ETL tools to ensure clean, reliable data for engineering and research teams.
Build and maintain the data platform that powers reporting, AI workflows, and decision-making at a prop-trading discovery platform using BigQuery, dbt, Airbyte, and Airflow.
Senior Data Engineer builds and maintains scalable data pipelines for analytics in a travel industry SaaS platform, using SQL, Snowflake, and Python.
Build and own the data platform for a proptech AI agent: model real-estate entities, define canonical metrics, and enable self-serve analytics for Finance, Growth and Ops using BigQuery, dbt and Python.
Build full-stack features in React and Python for an AI platform serving construction and sustainability consulting, integrating LLMs and RAG pipelines.
Build and maintain marketing data pipelines and tracking systems using Python, SQL, and Google Tag Manager to support ads and analytics across BigQuery, ClickHouse, and external platforms.
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