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Senior software engineer building and maintaining large-scale data pipelines and backend systems that power a quantitative investment firm’s research and trading workflows using Python, Java, Go, or C++.
Build and maintain ELT/ETL pipelines to move data into Snowflake, write dbt models, and set up data-quality checks for a US-based AI mortgage platform.
Обязанности: - Разработывать витрины данных в стеке Oracle / GreenPlum / PostgreSQL/ S3; - Разрабатывать и сопровождать ETL-пайплайны с использованием IPC и Apache Airflow для обеспечения надежной загрузки данных; -…
Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers…
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
Who We Are Mishimoto’s mission is to empower automotive enthusiasts through engineered solutions that elevate performance, reliability, and design — enabling them to push their vehicles further with confidence. Our…
Maintain and support enterprise AI platforms, cloud-native environments, and data pipelines for a leading Hong Kong financial institution, ensuring reliability and enabling AI/ML operations.
Build and maintain scalable data pipelines and warehouses to power real-time analytics for global ecommerce brands, using tools like Snowflake, Kafka, Spark, and Airflow.
Build and operate Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern cloud architectures while ensuring reliability, governance, and high availability for analytics and AI workloads.
Build and maintain Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern architectures while ensuring reliability and governance for marketing personalization products.
Build and maintain data platforms and ETL pipelines to power analytics and decision-making across Revolut’s financial products using Python, SQL, and distributed engines like Spark.
Designs and maintains scalable GCP data pipelines using Airflow, Dataform, and BigQuery, builds serverless apps, and creates BI dashboards in Looker Studio or Power BI.
Builds and maintains ETL pipelines, data warehouse models, and Airflow workflows to move and transform data for analytics.
Builds and maintains data pipelines, warehouses, and ETL workflows using Airflow to support analytics and decision-making.
Build and maintain scalable data pipelines on GCP, using BigQuery, Airflow, and Python to support marketing analytics and reporting dashboards in Power BI and Looker.
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing queries with tools like Dremio, Spark, and Terraform.
Leads a team to build and maintain high-volume marketing analytics pipelines using OLAP, Airflow, and AWS (S3, Athena, EKS), defining schema, partitioning, and near-real-time processing for data lakes.
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
Designs and builds scalable Snowflake data solutions for analytics and AI, including pipelines, semantic layers, and Cortex-enabled features using SQL, Python, and modern data-warehousing practices.
Build and maintain scalable data pipelines and Python services in Snowflake using dbt, Airflow, and AWS tools to deliver reliable, analytics-ready data products for a healthcare-focused data platform.
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