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From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange 'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic.…
Leads data governance and quality for a manufacturing company’s parts and services business, ensuring accurate product, pricing, and inventory data across ERP, CRM, and analytics platforms.
Designs and maintains scalable data pipelines and curated products to turn raw customer data into insights for Zalando’s fashion platform, using Python, Spark, SQL, and AWS/Databricks.
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Bridge Specialty Group is seeking a Head of AI & Data Platform Engineering…
About Cardlytics Founded in 2008, Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We make commerce smarter and more rewarding for everyone by helping businesses attract,…
JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and…
Who we are looking for State Street's Cyber Data & Analytics (CyberDNA) team is seeking an AI Security Automation Engineer to join our team to help shape the next generation of cybersecurity data, analytics,…
About the Company/Team Oracle Customer Success Services (CSS) partners with Oracle’s largest enterprise customers to help them realize measurable business value from Oracle technologies. CSS brings together deep…
Senior data engineer builds and maintains Web3 data pipelines that ingest, process, and serve real-time blockchain and exchange data to global crypto investors using Python, Spark, and cloud platforms.
Builds and maintains a petabyte-scale data platform for a physics-based AI startup, focusing on storage, compute, and ingestion systems to support large-scale model training.
Leads a team designing and scaling Azure-based big data platforms using Databricks, PySpark, Kafka, and Synapse to process petabyte-scale data for enterprise analytics.
Designs and migrates enterprise-scale data platforms for a banking group, replacing legacy master data systems with a modern Databricks-based lakehouse across APAC markets.
Builds and maintains reliable, scalable data pipelines for a life-sciences catalog, using Python, SQL, Databricks, and cloud data tools to ensure clean, low-latency data for operations and analytics.
Designs and implements scalable data platforms using Databricks for enterprise clients, advising on architecture, governance, and AI solutions while collaborating with cross-functional teams.
Build and own predictive models for an energy trading firm, focusing on time-series forecasting, price prediction, and battery optimization using Databricks and Python.
Builds and maintains scalable data pipelines using Microsoft Fabric, Azure, and PySpark to deliver analytics solutions that drive business decisions across finance, sales, and operations.
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your…
Are you ready to push the limits of what’s possible in data engineering? At JPMorganChase, you’ll have the opportunity to impact your career and work in an environment that values innovation and collaboration. You’ll…
Designs and leads enterprise-scale data platforms on Databricks, building Lakehouse architectures, ETL pipelines, and governance frameworks to support analytics and AI workloads.
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