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Lead Data Engineer managing a 3-person team to design scalable data architectures, build massive data lakes/warehouses, and optimize indexing/performance for a SaaS company specializing in scientific/technological/economic data analysis.
Lead Data Engineer responsible for overseeing a team of 3 data engineers, designing scalable data architectures, and ensuring fast data availability for development teams. Focus on R&D data infrastructure with optional 2 days remote work per week.
Lead a data engineering team to design robust data architectures, optimize queries, and implement CI/CD pipelines while mentoring teams on best practices.
Designs and builds scalable data platforms in Azure/AWS, mentors engineers, and translates business needs into secure, high-performance data services.
Lead the design and optimization of scalable cloud-based data platforms and pipelines to power analytics and decision-making across a global media group.
Lead Data Engineer designing and leading scalable cloud-based data platforms for analytics and BI. Responsibilities include ETL/ELT pipelines, data models, governance, and mentoring a team of data engineers.
Own and evolve a modern data platform for a healthcare provider, using Microsoft Fabric to build AI-driven data products and trusted analytics.
Lead the design and implementation of a modern AWS cloud-native data platform for a UK charity, shaping data lakehouse architectures, pipelines, and governance to drive operational and analytical insights as part of a five-year digital transformation strategy.
Designs and delivers high-performance, real-time trading and research systems using Python/KDB/C++ and AI, leading global engineering teams in a fast-paced fintech environment.
Lead AI & Data Engineer responsible for designing AI/data engineering solutions, writing secure Java code, and building scalable AWS-based architectures for fintech applications.
Lead the optimisation and evolution of BBC’s data lake and warehouse platforms, designing scalable cloud architectures (AWS CDK/CloudFormation) and CI/CD pipelines (GitHub Actions, Jenkins) while ensuring security and reliability.
Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Leads data engineering teams to design, build, and deploy software solutions that modernize clients' systems and improve user experiences.
Lead a team of data engineers in Kuala Lumpur to build and govern K3 Advisory Group’s Azure-based data platform, integrating third-party data and AI/LLM products while enforcing strict security and regulatory standards.
Great data platforms don't just store information. They help organisations make better decisions, improve services and unlock new opportunities through AI and analytics. The Australian Renewable Energy Agency…
Leads data engineering and analytics for robotics/automation in medical device manufacturing, building cloud-based reporting and advising executives.
Designs and manages a federal government’s data stack, focusing on scalable batch/streaming solutions with Spark to translate data into actionable insights for inter-agency teams.
Lead a team to design and maintain scalable data pipelines for a federal government client in Canberra, using Spark, Elastic, and Solr to process and analyze diverse data sources.
Design and implement a Microsoft Fabric data governance framework for a global commodities trading firm, covering cataloging, lineage, and quality across fragmented ERP, CTRM, and SAP S/4HANA sources.
Leads data engineering, BI, and Generative AI initiatives with technical oversight, bridging cloud platforms and business needs for enterprise-scale solutions.
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