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Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Designs and maintains cloud-based data pipelines and ELT workflows using GCP, BigQuery, dbt, and Airbyte to ensure accurate, scalable analytics for reporting and decision-making.
Build and maintain the data platform that powers e-commerce insights: Snowflake, AWS lakehouse with Iceberg tables, Airflow pipelines, and Terraform IaC.
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
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 data pipelines, model tables in Snowflake, and create Metabase dashboards to help a fast-growing French proptech SaaS optimize its fiscal-property platform.
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 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.
Builds and optimizes data pipelines in Snowflake and DBT, ensuring clean, governed data for analytics and reporting across the company.
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 marketing data pipelines and tracking systems using Python, SQL, and Google Tag Manager to support ads and analytics across BigQuery, ClickHouse, and external platforms.
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Designs and leads the MarTech stack for StreetEasy, integrating Iterable, Hightouch, SparkPost, and HubSpot with CRM and data platforms to automate lifecycle marketing and reporting.
Own Passage's data platform: model business metrics in dbt on BigQuery, run Airflow pipelines, and serve trustworthy data to leadership, marketing, and ops via Metabase and Hasura GraphQL.
About Euka Euka Future Learning is Australia's leading home education platform, delivering K-12 curriculum to thousands of families across the country. Our engineering team builds the systems that power enrolments,…
Lead three engineering teams building and operating Canonical’s internal business systems, data mesh, and integrations using Salesforce, NetSuite, Python, Trino, Airbyte, and Temporal.
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