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Hands-on data/AI engineer building and hardening AI-assisted pipelines and data models for an ESG sustainability platform, working with Python and large language models close to client delivery.
The Software Engineer (Data) builds and maintains data pipelines, transformation models, and data quality frameworks using Snowflake, dbt, and AWS. The role also involves full-stack development using React, Next.js, and .NET to support consumer-facing hospitality products.
This role involves building and maintaining data pipelines, transformation models, and data quality frameworks using Snowflake, dbt, and Python. The engineer will also contribute to full-stack development tasks using React, Next.js, and .NET microservices to support consumer-facing hospitality products.
The Software Engineer (Data) will build and maintain data pipelines, transformation models, and quality frameworks using Snowflake, dbt, and Python to support business intelligence and AI products. The role also involves full-stack development using React, Next.js, and .NET microservices to deliver consumer-facing features.
The Data Platform Engineer will design, build, and maintain scalable data infrastructure and ETL pipelines within the UK National Audit Office's Azure environment. This role involves collaborating with cross-functional teams to ensure high-quality data ingestion, storage, and accessibility for organizational insights.
Senior Data Engineer on a banking client's Data Strategy, migrating ETL from Azure Data Factory/ADLS to Microsoft Fabric, building and testing data pipelines in Agile sprints.
Intern on the EMEA Commercial IT team building and operationalizing scalable data pipelines and AI/GenAI solutions on the company's data platform using Python, SQL, and cloud services.
Designs and maintains a scalable, secure cloud-based data platform for DWS Group’s fintech operations, focusing on Snowflake and automation tools to enable data ingestion, transformation, and distribution while ensuring compliance and reliability.
The Senior Databricks Data Engineer will design and maintain scalable data pipelines using Databricks, Spark, and PySpark. The role involves optimizing data processing performance and ensuring data quality using Delta Lake and Parquet.
Senior Data Engineer leading data engineering initiatives including data lakes, platform modernization, and reporting solutions, utilizing Azure Cloud, Databricks, and AliCloud big data tools.
Hands-on Senior Data Engineer role at a global financial services company, building and scaling an enterprise Lakehouse data platform with ETL/ELT pipelines, Spark, Delta Live Tables, and Terraform while contributing to AI initiatives.
The Senior Data Engineer will develop and maintain complex data pipelines and transformation routines using Snowflake, Python, and Airflow to support healthcare analytics and payment integrity solutions. The role involves creating data models, implementing CI/CD automation, and ensuring data quality within a hybrid work environment.
The Lead AI Data Engineer will design and implement scalable Azure-based data architectures and platforms to support AI, machine learning, and GenAI initiatives within a banking environment. This role involves defining data standards, governance, and integration patterns while collaborating with cross-functional teams to build the technical foundation for a new AI Lab.
The Senior Data Engineer will design, build, and optimize scalable data platforms and pipelines using the Microsoft Azure ecosystem, including Microsoft Fabric and Azure Synapse. The role focuses on developing automated data solutions, supporting AI initiatives, and ensuring data quality and performance for business intelligence.
The Senior Data Engineer will design and scale data ingestion pipelines and connectors for a cybersecurity platform using Python and Go. The role involves working with enterprise customers to integrate data sources across AWS, Azure, and GCP environments using Docker and Kubernetes.
The Azure Data Engineer will design, develop, and maintain scalable data pipelines and analytics solutions using Azure Data Factory, Databricks, dbt, and Python. The role involves building data warehouses, creating Power BI dashboards, and ensuring data quality and performance in a hybrid work environment.
(This role is based at our Singapore headquarters; overseas applicants are welcome but must work on-site.) TacnIQ.ai is bridging AI and the physical world , building the foundation model for physical interaction,…
Group Overview The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity,…
Manage and optimize real-time financial market data systems at TP ICAP's Parameta Solutions in Singapore—integrating, normalizing, and distributing OTC data feeds from exchanges and vendors using tools like Refinitiv RTDS, cloud platforms, and scripting languages.
Lead the design and continuous improvement of a regional Microsoft Fabric and Power BI data & analytics platform across Southeast Asia, covering data ingestion, transformation, semantic modelling, and enterprise reporting.
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