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Builds scalable data models and reports using SQL/DBT to power a self-serve analytics platform, collaborating with cross-functional teams to solve complex data challenges.
Build and optimize Microsoft Fabric data pipelines and semantic models in Python, enabling AI-powered analytics and reporting for business stakeholders.
Builds and maintains data models/pipelines (e.g., dbt) to support HR/payroll analytics for Deel’s global SaaS platform, ensuring accurate, compliant data for business decisions.
Leads data-driven analytics projects for sports clients, applying computer vision and scalable reporting to deliver insights while collaborating with tech and client teams in a hybrid London role.
Runcorn 8 Pembroke Court Manor Park Runcorn, CH WA7 1TG, GBR Description Heroux-Devtek, the world’s 3rd largest producer of landing gear, serves the civil and military aerospace markets from production facilities in…
Develop the Microsoft Fabric platform by building data ingestion pipelines and semantic models, utilizing Power BI and DAX expertise to deliver analytics solutions and support AI-enabled data search.
Analytics Engineer role in London working on the Modern Data Stack (dbt & BigQuery) to transform raw data into actionable insights, building data models and automating processes while bridging the gap between data and business stakeholders.
Designs and optimizes cloud-based ETL/ELT pipelines and curated datasets to power BI dashboards and self-service analytics for reporting.
Builds and maintains data models (customer acquisition, retention, forecasting) in BigQuery using dbt to enable business decisions; collaborates with marketing, ops, and finance to define metrics, dashboards, and scalable analytics systems for a premium UK ecommerce brand.
Builds and maintains analytics infrastructure, tracks user events, and creates dashboards to drive growth decisions for a Gen Z-focused social super-app, collaborating with product, engineering, and marketing teams.
Own and evolve a modern data platform for a healthcare provider, using Microsoft Fabric to build AI-driven data products and trusted analytics.
Lead data engineering for biomedical AI models, designing architectures and standards to build high-quality multimodal datasets for training and deployment.
Senior Data Engineer builds and optimizes large-scale data pipelines using Spark, Python, and AWS for a major UK organization’s AI estate.
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.
Leads the design and evolution of MoonPay’s data platform, ensuring analytics, product insights, ML, and integrations scale reliably in a regulated fintech environment. Balances technical direction with hands-on implementation.
Designs and builds secure Azure data pipelines, models, and reports for a government programme, delivering insights from large-scale datasets.
Build and maintain scalable backend services and data pipelines for financial reporting, reconciliation, and close workflows in a fintech environment.
Builds and optimizes large-scale data pipelines and AI-driven workflows in a complex enterprise environment using Spark/PySpark, Python, and AWS, with hands-on engineering focus.
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.
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