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The Data Engineer will build and maintain scalable data infrastructure for quantitative trading, focusing on processing tick-level market data and ensuring high-quality data pipelines. The role involves working with Python, SQL, NoSQL, and financial data APIs to support research and trading workflows.
Data Platform Engineer supporting automated data pipelines, large-scale testing data validation for risk/reporting, and BI platform assistance — using Python, SQL, and Tableau in a public-sector data transformation programme.
The Data Engineer will design and maintain end-to-end data pipelines, infrastructure, and RAG solutions to support AI and analytics initiatives. The role involves working with structured, unstructured, and vector data within a large-scale corporate environment.
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
This role focuses on L2 data operations, providing support for production data pipelines, ETL/ELT processes, and incident management. The position also involves data migration support, stakeholder communication, and maintaining data quality and governance standards using tools like Microsoft PowerBI.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Build and maintain data pipelines using Python and SQL to collect, clean, and transform data from various sources, supporting logistics and supply chain R&D with structured datasets for analytics and ML applications.
The Data Engineer will develop machine learning models for water leakage detection and maintain data pipelines within an R&D team. The role involves working with Python, SQL, NoSQL, and Linux environments to integrate sensor data and troubleshoot quality issues.
The Data Engineer will build and maintain data pipelines, transforming diverse data sources into structured datasets using Python and SQL. The role involves collaborating with researchers to support business insights and machine learning preparation within a logistics R&D environment.
The Senior Data Engineer will design, build, and maintain ETL pipelines for banking regulatory reporting, focusing on SQL-based stored procedure development and data quality. The role involves collaborating with cross-functional teams to optimize data processes.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
Senior data warehouse/BI engineer leading end-to-end development of regulatory report applications, focused on data modeling, ETL/ELT pipelines, and data processing workflows within a major banking environment.
Vicuna Asset Management is looking for a Data Engineer to build and maintain financial data infrastructure, including scalable databases and data quality controls. The role involves working with cloud-based processing and vendor APIs to support quantitative research and trading.
The Data Engineer will design, develop, and maintain software applications while collaborating with regional technology teams. The role requires proficiency in Python, Apache Spark, and Unix.
This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
The Data Engineer will design, maintain, and enhance data lakes, pipelines, and analytics infrastructure while collaborating with data science and product teams. The role requires end-to-end project contribution and strong English communication skills in a Hong Kong-based office.
The Data Engineer will design, develop, and maintain data analytics and warehouse platforms for insurance applications using Azure, Spark, and Databricks.
Develop Python-based data applications and platforms for a cognitive solutions and cloud platform client, collaborating with data analysts and scientists to translate business needs into data engineering solutions.
Data Engineer designing, developing, and maintaining scalable data pipelines using Azure and Databricks within the insurance sector.
Data engineer designing and maintaining ETL/ELT pipelines on Azure Databricks for insurance data, using PySpark/Scala, Python, Informatica, and GitHub Actions.
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