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As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design, development, and…
Lead a team to design, build, and maintain data pipelines and infrastructure for airport travel technology, ensuring seamless data flow across systems.
Designs and implements a global Active Metadata ecosystem for P&G’s Data Lakehouse, using Databricks Unity Catalog and related tools to automate governance, security, and discoverability across enterprise data assets.
Design and build a scalable data architecture (medallion layers, semantic layer) on AWS/Databricks/Snowflake to ingest IoT, logs, and video, and enable AI/ML workloads for government and smart-city projects.
Architect enterprise-grade data and AI solutions for Prudential’s insurance business, designing cloud-native platforms, ETL/ELT pipelines, and Agentic AI systems while ensuring governance and scalability.
Design and build a scalable enterprise data lakehouse on Databricks and Azure to power analytics, reporting, and AI/ML across Opella’s global OTC and VMS brands.
Leads Supply Chain data pipelines, dimensional/semantic models, and cloud-based analytics (GCP, BigQuery, Airflow) to enable planning, procurement, and logistics decisions for a global food manufacturer.
Lead a team building secure, scalable financial platforms using cloud-native tools and advanced programming to deliver trusted products for JPMorgan Chase.
Designs and maintains the Snowflake-based enterprise data architecture for a cruise line, defining canonical models, governance, and integration patterns to power analytics, Customer 360, marketing, and AI/ML.
Design and optimize large-scale PySpark data pipelines for enterprise analytics, handling TB–PB datasets with performance tuning and cloud-native Lakehouse architectures.
Own and manage the firm’s data platform, ensuring performant ingestion, storage, analytics, and AI/GenAI use cases within a governed environment to drive strategic decision-making across EMEA.
Lead enterprise data, AI, and platform engineering for a global real-estate asset manager, designing scalable architectures, building AI foundations, and mentoring high-performing teams.
Build and maintain Python-based data pipelines using Airflow and Medallion Architecture to ingest, transform, and deliver automotive data for analytics and reporting.
Design and build a governed AWS data lakehouse for a public-sector SaaS company, setting reference architecture, layered models, and governance so downstream teams can safely ship analytics and AI features.
Design and maintain financial data pipelines using SQL, Python, PySpark, and Microsoft Fabric to automate reconciliations and reporting for reserving, claims, and enterprise decision-making.
Design and implement cloud-native data platforms (lakehouses, streaming pipelines) using Azure/AWS/GCP to support AI/ML and analytics at scale.
Lead the design of secure data architectures for Army intelligence systems, integrating pipelines, optimizing SQL/ETL workflows, and enforcing governance in AWS environments.
Lead a team to design and build a Snowflake-based cloud data lakehouse for RBC Insurance, owning pipelines, performance tuning, and data quality while collaborating with architects and business stakeholders.
Lead the delivery of a unified, multi-tenant data platform for a real-estate tech company, modernizing legacy systems to a Snowflake-based Data Lakehouse and coordinating cross-team migrations.
Designs and maintains the Snowflake-based enterprise data architecture for a cruise line, defining models and standards that power analytics, AI/ML, and customer insights across marketing, operations, and finance.
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