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About Hytech Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive…
Build and maintain high-performance, low-latency backend systems in Go to power real-time trading and data pipelines for a proprietary trading firm.
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
Senior Data Analyst builds Power BI dashboards and Azure data models to turn complex business challenges into actionable insights for a fintech bank in Sydney.
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Owns and scales Elastic SIEM data ingestion and automation for security telemetry across cloud, hybrid, and corporate environments.
Builds and automates Azure-based security data pipelines to centralize visibility across EY’s global security platforms.
Design and maintain data ingestion workflows using Python, Snowflake, and SQL, with OpenTelemetry for visibility and ServiceNow integration.
Build and maintain Azure-based security data pipelines and analytics platforms using Data Factory, Databricks, and SQL to centralize visibility across global security and operational tech systems.
Senior Data Engineer builds and maintains scalable Python-based data pipelines that feed ServiceNow, using Snowflake, OpenTelemetry, and SQL for ingestion, storage, observability, and validation.
Build and maintain data ingestion pipelines that move and transform SaaS and in-house data into a warehouse, enabling reporting, ML, and GenAI insights.
Lead a data engineering team to design and maintain ETL/ELT pipelines, data warehousing, and analytics infrastructure using tools like Fivetran, dbt, AWS Redshift, and Python.
Senior Salesforce architect designs and integrates cloud solutions for a new financial-services segment, focusing on scalable, resilient systems and Lightning Web Components.
Lead a Cloud Data Engineering team to build and optimize data pipelines, ETL processes, and cloud-based data solutions while managing staff and collaborating with IT leaders to deliver high-quality data assets for the business.
Build and maintain scalable data pipelines on Databricks for a sportswear client, focusing on product margin reporting and data readiness tracking using PySpark.
Job Title: AI Data Integration Engineer (RAG Systems) - Hybrid (JP15177) Location: Cambridge, MA 02138 Employment Type: Contract Business Unit: ETA Drug Substance Duration: 1+ year with likely extensions and/or…
Build and deliver transaction-monitoring solutions on the Quantexa platform, designing data pipelines, entity resolution, and analytics to meet AML/fraud use cases for a major bank.
Build and maintain scalable data pipelines and transformations that power bidding models, reporting, and analytics for Booking.com’s PPC ecosystem using Python, SQL, and cloud platforms.
Job Title: Data Warehouse Expert Engagement Type: Consultant – Project Management & Consulting (PMC) and Technical Support Project Phase: Phase 3 – Implementation, PMC, and Technical Support Reporting To: Project…
Build and own scalable data pipelines, cloud warehouse, and BI tooling using Python, SQL, dbt, Airflow, and Snowflake/BigQuery to turn product signals into business intelligence for a remote-first SaaS and AI company.
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