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Build and maintain a Microsoft Fabric/OneLake data platform using Medallion Architecture, creating scalable pipelines and curated datasets for analytics and Power BI.
Job Description: Employer: DWS Group Title: Lead Engineer – Data Platform Location: Madrid Job Code: placeholder for LinkedIn job wrapping About DWS: Today, markets face a whole new set of pressures – but also a whole…
We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets. What You’ll Do Lead design and implementation of data pipelines,…
Xanadu is seeking a Data Platform Engineer to transform our data pipelines into a cohesive data platform. You will collaborate with hardware researchers, data scientists, and finance analysts to define data flows and…
Date limite pour présenter sa candidature : 09/29/2026 Adresse : 100 King Street West Groupe de famille d'emploi : Analyses des données et communication de l'information HYBRID ROLE Utiliser des algorithmes et…
RBC Capital Markets is seeking a Trade Data Engineer in Toronto to define strategy, lead execution and deliver AI-ready data capabilities across the data platform. You will partner with Front Office, Operations, Risk…
Leads data strategy and PoC for a Dutch university medical center, designing data infrastructure and enabling access to data environments while mentoring teams and delivering early results on-site.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to power AI-driven analytics and embedded reporting for a telecom SaaS platform.
Leads the design, build, and operation of scalable data platforms and infrastructure for critical business outcomes, mentoring teams and blending engineering with AI-assisted practices.
Lead Data Engineer responsible for designing, building, and maintaining scalable healthcare data pipelines in AWS, handling PHI/PII securely, and integrating AI/ML for mapping and data quality while owning the full pipeline lifecycle from development to production.
Lead the modernization of GIC’s global data infrastructure, migrating legacy systems to cloud-native, AI-powered platforms while overseeing databases, middleware, and web services for a sovereign wealth fund.
Lead the build of data pipelines and AI integrations for a fintech platform, using dbt, BigQuery, Airflow, and LLM APIs to ensure reliable, secure analytics and agent workflows.
Designs, builds, and optimizes scalable Azure data platforms, leading architecture, pipelines, and DevOps for enterprise-scale data programs.
Lead the design, build, and optimization of a scalable Azure-based data platform, mentoring engineers and delivering Python APIs while enforcing governance and security standards.
Leads data engineering and analytics at a government agency focused on renewable energy, building trusted data products and improving reporting across the organization.
Leads enterprise-scale data engineering projects in Brisbane, designing pipelines for processing, integrating, and securing large datasets while aligning with governance and stakeholder needs.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Facilitate Agile ceremonies and coach a new data engineering team while leading cross-border Agile transformation and SDLC improvements.
Lead a Barcelona-based data engineering team to build and maintain an AI-first data platform for clinical data, recruiting and mentoring engineers while aligning with the Austin team across time zones.
Lead a Barcelona-based data engineering team building a next-gen clinical data platform on Databricks/dbt/GCP, while aligning with Austin and driving AI-first engineering practices in a regulated healthcare setting.
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