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The Senior Data Engineer will design and build a modern, cloud-based data platform for RTÉ using Microsoft Fabric and Azure technologies. The role involves developing end-to-end data pipelines, maintaining lakehouse architectures, and mentoring team members to support data-driven decision-making.
The Senior Data QA Engineer will develop automated testing frameworks for data pipelines using Python, PySpark, and Databricks tools. The role focuses on ensuring data integrity, validating transformations, and verifying governance controls within a lakehouse environment.
Lead Solution Architect defining end-to-end data and metadata platform architecture, designing canonical data models, ETL/ELT pipelines, and GenAI/LLM-based solutions with GCP cloud experience.
This role involves designing, building, and optimizing enterprise data models and analytics solutions using SAP Datasphere and SAP Business Data Cloud. The engineer will perform SQL scripting, troubleshoot data flows, and collaborate with functional teams to support business reporting needs.
Design and lead the build-out of a modern, real-time data platform for a large bank’s transaction banking unit, using Databricks, Spark, Kafka, and Azure to power analytics, AI, and regulatory reporting.
Business Analyst partnering with senior stakeholders and technology teams to gather requirements, improve processes, and deliver data and technology change across underwriting, exposure management, and portfolio management at a specialty marine insurer.
Data Security & Governance Analyst on a 6-month hybrid contract protecting and governing enterprise data assets on a public sector analytics platform, primarily using Databricks Unity Catalog, Microsoft Purview, and access governance controls.
Design and deploy enterprise-grade agentic AI systems using Databricks and Azure, focusing on multi-agent workflows, governance, and production deployment.
Unlock, structure, and translate complex data into reliable dashboards and reports at Enexis (energy utility), bridging business and IT using Power BI, Excel/VBA, DataVault, and ETL processes.
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Principal Data Engineer (AWS) - Contract, Outside IR35 £650 per day | Outside IR35 | 3-Month Contract (13 weeks) | Remote UK - very occasional travel to Leeds Brio Digital is working with a major UK organisation…
Designs and maintains scalable data platforms on Azure and Databricks, focusing on ETL/ELT pipelines, data lakehouse architecture, and cloud-native migrations while ensuring data quality, governance, and DevOps automation.
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
Designs and maintains Snowflake-based data pipelines, focusing on ETL/ELT workflows, Snowpark automation, and cloud-native data operations to enable scalable data processing and analytics.
Senior Data Engineer designing scalable enterprise data models across Finance, Procurement, Supply Chain, Planning and CRM, using SQL, dbt, and ERP/CRM platforms in a hybrid role based in Belfast.
Senior Data Engineer owning a Snowflake-based Data Lakehouse for trading, compliance, and marketing intelligence, building ETL pipelines, data models, and Power BI dashboards at a fintech trading firm.
Senior Data Engineer designing and building high-volume batch and streaming data pipelines on AWS and GCP using Python, Java/Scala, Spark, Airflow, and various SQL/NoSQL databases for a travel marketplace client.
Builds GenAI and ML systems for actuarial finance, translating business problems into production-ready predictive/analytical solutions with explainability, governance, and operational controls.
Designs and maintains data pipelines to unify membership data across systems, ensuring a single source of truth for subscriber data, while collaborating with cross-functional teams to define requirements and improve data reliability. Core technologies include SQL, Python, dbt, Databricks, and AWS.
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