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Lead a global team to build and maintain AI-ready data pipelines, MDM systems, and agentic AI workflows for an insurance company.
Lead data engineering initiatives at a major Canadian bank, designing cloud-based pipelines, optimizing SQL/Python workflows, and shaping the sector’s data architecture and governance to transform operations.
Senior Cloud Data Engineer builds and maintains scalable data pipelines for asset & wealth management systems using cloud technologies.
Lead a team to architect and deliver a Microsoft Fabric-based data platform, integrating enterprise systems like Salesforce and Workday while enforcing security and governance standards.
Leads a team building Microsoft Fabric-based data pipelines and OneLake storage, setting the engineering roadmap and overseeing platform operations for an enterprise data stack.
Lead a team to build secure, scalable data platforms and AI/ML pipelines for investment analytics at a licensed Hong Kong fintech firm.
Designs, implements, and secures enterprise-grade network infrastructure for a global bank, focusing on routing, switching, and secure connectivity across APAC.
Design and build scalable, reliable data pipelines for Goldman Sachs’ Lakehouse and AI platform using Python/Java and SQL, supporting high-impact analytics and AI use cases.
Design and optimize large-scale data pipelines and cloud infrastructure for a global bank, using PySpark, Databricks, and Snowflake, while supporting AI initiatives like RAG and Agentic systems.
Lead data governance and AI-readiness for Citco’s fund administration platform, defining standards, quality rules, and metadata to power AI knowledge bases and automated workflows for complex fund structures.
Lead data governance and AI-ready data stewardship for Citco’s fund administration, defining metadata standards, quality rules, and domain roadmaps to support enterprise AI systems and reporting.
Job Title: Head of Data Engineering & Data Products Location: Porto, Portugal (preferred) or Barcelona, Spain (optional) Type: Full-time – Hybrid working Reports to: Group CITO Unilabs is on a multi-year journey to…
Lead the build-out of an AI-native data platform that turns raw food records into trusted, gold-certified outputs while enforcing strict security and governance so the data can’t leak into external AI systems.
Build and lead HR-focused internal tools and data pipelines in Python/SQL, partnering with HR and business leaders to automate processes, deploy GenAI, and drive data-driven workforce decisions.
Lead the design and automation of cloud-based data platforms for a global exchange group, using GCP, Terraform, and metadata governance tools like Atlan to streamline financial-market infrastructure.
Lead a data engineering and platform team to build scalable infrastructure that enables Mercury’s product and engineering teams to operate efficiently.
Leads the design, development, and evolution of a modern enterprise data platform using Azure and Snowflake, overseeing platform engineering teams in a fintech organization.
Lead a team to build and govern data pipelines that ingest, clean, and transform enterprise data (PLM, ERP, MES) for Digital Twins and knowledge graphs using Databricks or Azure Data Factory.
Build and maintain core reference-data pipelines in Snowflake and AWS for a global investment bank, using Python, Airflow, and modern cloud-native tooling.
Lead a team building and optimizing high-performance ETL pipelines using Ab Initio to feed Citi’s Oracle General Ledger, ensuring financial data accuracy and integrity.
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