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Senior Data Engineer builds and maintains a Snowflake-based data lakehouse for a fintech trading firm, designing ETL/ELT pipelines, semantic models, and Power BI dashboards to support analytics, compliance, and decision-making.
Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Designs and builds scalable Databricks-based lakehouse architectures on AWS, implementing real-time and batch pipelines with PySpark and Kafka to modernize enterprise data platforms.
Data Architect Location: Hybrid (UK) Salary: £80,000 We're partnering with a highly successful, private equity-backed organisation that is embarking on a major data transformation journey. The business has…
Designs and governs a modern enterprise data platform using Microsoft Fabric, Databricks, and Azure, enabling scalable analytics, AI, and reporting for a private equity-backed company.
Senior Data Engineer to modernize and scale a US retail eCommerce platform, building cloud-native data pipelines and warehouses using Azure Synapse, Data Factory, Databricks, and PySpark.
Build and maintain scalable data pipelines for automotive operations, transforming raw data into trusted, reusable foundations for analytics and AI across manufacturing, procurement, and supply chain.
Build and operate a modern, cloud-native cybersecurity data platform in Dublin, automating operations and enforcing EU data-residency rules to keep enterprise defenses reliable and compliant.
Senior Data Engineer builds and optimizes cloud-based data pipelines using Databricks, PySpark, and Azure to enable scalable analytics and business insights for global clients.
Designs and implements an Active Metadata ecosystem for P&G’s global Data Lakehouse, using Databricks Unity Catalog and AI-driven tools to automate governance, security, and data discoverability.
Build and optimize scalable data pipelines on GCP for analytics and AI products, using BigQuery, Dataflow, Dataform, and Pub/Sub.
Build and maintain scalable data pipelines that power analytics and AI for automotive operations, translating business needs into robust, reusable data infrastructure.
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Lead the design and delivery of cloud-native, event-driven data platforms for real-time financial transactions and AI-ready datasets using Ab Initio, Kafka, Spark, and AWS services.
Lead a team of senior data engineers to build and scale cloud data pipelines and lakehouse analytics for Salesforce’s marketing tech stack, ensuring clean, governed data for AI-driven activation and attribution.
Build and optimize enterprise Power BI semantic models and DAX measures in Microsoft Fabric to deliver scalable, high-performance analytics insights for SHI’s IT solutions.
Builds and maintains a scalable, secure Data-as-a-Service API exposing LakeHouse data via RESTful/GraphQL endpoints, optimizing performance and ensuring cloud-based (AWS) integration with data pipelines.
Build and validate cloud infrastructure and data pipelines for LiDAR and multimodal sensor data to power AI training datasets and autonomous systems at a sensor and robotics company.
Principal Data Architect designs and leads enterprise-scale cloud data platforms (Databricks, AWS, Azure) to enable AI, analytics, and healthcare data solutions at a global medical technology company.
Designs and evolves Vanguard’s enterprise data architecture to support AI-ready data strategies, cloud-native platforms, and scalable, secure data ecosystems.
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