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Data Engineer: Microsoft Fabric & Lakehouse Platform
Build and maintain scalable data pipelines and lakehouse assets using Microsoft Fabric, SQL, and BI tools to integrate ERP and other data sources for analytics.
Senior Data Scientist
Senior Data Scientist builds ML models and analytics to assess insurance risk, working with Python/SQL and cloud tools to deliver data-driven solutions for underwriting and operations.
Graduate ML/AI Engineer
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
UX Data Analyst: AI-Driven Product Analytics
Analyze user interaction data with Genesys Cloud, build dashboards, and validate AI outputs to inform product decisions.
Data Engineering Team Lead - Databricks
Lead a team of data engineers building and optimizing scalable data pipelines on Databricks for a global financial services client, using Spark, Delta Lake, and AWS.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin
Senior Data Engineer builds and optimizes cloud-based data pipelines for financial services clients using Azure, SQL, and ETL tools to enable analytics and reporting.
Data Engineer, Microsoft Data Platform
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Microsoft Fabric & AI Solution Architect
Designs and deploys Microsoft Fabric and AI solutions, building data platforms, analytics, and Copilot Studio agents to turn enterprise data into insights and automation.
Senior Information Architect: AI-Driven Data Platforms
Designs enterprise data models and AI-driven schemas in Snowflake and Databricks to enforce quality, security, and semantic standards for scalable data products.
Data Engineering Lead
Lead a team building and optimizing large-scale data pipelines and cloud-based platforms for analytics and AI, using Python, Spark, Databricks, and cloud-native tools.
Senior Data & Systems Analyst - Retail Org
Own the data and systems stack for a luxury retailer: integrate POS, ERP, CRM, and AI tools, build real-time dashboards, and automate workflows to drive faster, smarter decisions across sales, finance, and operations.
Data Engineer
Design and build ETL pipelines to transform raw banking data into analytics-ready datasets using Python, SQL, and enterprise platforms like Snowflake or Teradata.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure on AWS to support real-time and batch processing for a sports-betting business.
Senior Data Engineer
Build and optimize scalable data pipelines on Databricks and Azure to power reporting, analytics, and AI across Primark’s retail business, migrating from Teradata to a modern lakehouse architecture.
Machine Learning Engineer
Build and optimize large-scale data pipelines and integrate LLMs into production systems for Docusign’s Intelligent Agreement Management platform.
Senior Full-Stack Software Engineer (VP)
Lead the design and development of a modern, cloud-native data and reporting platform for Citi’s futures and derivatives clearing business using Angular/React, Spring Boot, and AWS.
Oracle EBS Application Developer
Develops and maintains Oracle EBS solutions, including PL/SQL, BI Publisher, APEX, SOA Suite, and ODI integrations for enterprise clients.
AI Analysis & Performance Analyst
Analyze AI chatbot performance and automation impact for TikTok’s customer support, using Python, SQL, and LLMs to deliver data-driven insights and optimize operational efficiency.
Data Engineer - Graph Databases
Builds and maintains ETL/ELT pipelines and graph databases for telecom and financial clients, using Python, SQL, and cloud tools like BigQuery or Azure Synapse.
Senior ML Engineer (AI Research, Physical AI)
Senior ML Engineer to research and build AI models for physical systems like robots, combining reinforcement learning, multimodal models, and real-world robotics in a collaborative research environment.