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Design and build scalable data pipelines and models in Snowflake/Databricks using dbt, SQL, and Data Vault/Anchor Modeling to deliver clean, reusable data for BI and analytics.
Designs and operates Snowflake-based data pipelines and ETL/ELT workflows in Python for an automotive business unit.
Designs and leads scalable data infrastructure and pipelines for a biotech company, mentors engineers, and drives data-driven decisions.
Build and optimize Kdb+/Q-based data platforms that process real-time and historical market data for trading and quantitative research.
Responsibilities Setup and install network and server hardware according to business requirements Maintain, diagnose and troubleshoot infrastructure system health and fix any issues that arise Deploy and configure…
Data Centres – Service Engineer – Ireland Headline summary: PE Global are seeking to identify a Service Engineer for one of our key clients, a technology leader providing a range of services with to global customers,…
Validates ETL pipelines and large-scale datasets on Databricks to ensure accuracy and reliability for enterprise data platforms at a global financial group.
Designs and builds Azure integration and data pipelines for public-sector services using Data Factory, SQL, Logic Apps, and WebJobs.
Lead the design and build of scalable data pipelines and internal tooling, using agentic AI to improve analytics velocity and reliability for a payments-focused product company.
Job Description UKI Technology Consulting - Databricks Engineer, Assistant Manager General information Location: Dublin Available for Work Visa Sponsorship: No Business area: Technology Consulting (AI and Data)…
Build and maintain scalable ETL pipelines and data models in Python/SQL, ensuring high-quality data for analytics and machine-learning use cases in ad-tech and travel marketing.
Senior Data Engineer designs and optimizes industrial data historian systems (e.g., AVEVA PI, AspenTech) and integrates them with control systems, ensuring secure data storage and compliance.
Senior Data Engineer builds and maintains AWS-based data pipelines in Python and SQL, ensuring scalable infrastructure and high-quality data for analytics and decision-making.
Design and build scalable data pipelines and warehouses on AWS using Python, SQL, and cloud-native tools to power analytics and ML at a data-driven product company.
Senior Data Engineer builds and maintains ETL pipelines, SQL-based data solutions, and BI dashboards using Python, Snowflake, and AWS to drive business insights.
Builds a cloud-based data pipeline and warehouse to integrate telematics and operational data, enabling ML models and analytics for a logistics-focused AI product.
Designs and builds scalable data pipelines and BI models using Microsoft Fabric and Azure Synapse Analytics for a 3-month contract in Letterkenny.
Build and maintain scalable data pipelines using Microsoft Fabric, SQL, Spark, and Python to enable analytics and reporting in a hybrid work setup.
Lead a team to design and build scalable AWS-based data pipelines, warehouses, and real-time analytics using Python, Snowflake, and orchestration tools.
Build and scale a cloud-native data platform in AWS (S3, Iceberg, Spark, Airflow) to process 100M+ objects with sub-500ms latency APIs for a new UK consumer credit bureau.
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