# Senior Data Engineer (Microsoft Fabric) at Version 1

Version 1 is hiring a Senior Data Engineer (Microsoft Fabric) in Dublin, Ireland. Level rates it Little AI ●○○○; you can [apply on Version 1](https://jobsbylevel.com/go/59e89c7c-a269-42e8-b75e-7be9c4e74318?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Remote (Dublin, County Dublin, Ireland).

## Details

- Company: [Version 1](https://jobsbylevel.com/companies/version-1)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Remote (Dublin, County Dublin, Ireland)
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/59e89c7c-a269-42e8-b75e-7be9c4e74318?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-microsoft-fabric-at-version-1-8f1ff6

## Prepare for this job

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## Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. Overview We are seeking an experienced Senior Data Engineer (Microsoft Fabric) to join our Data & Analytics team and support a large-scale data modernisation programme. This strategic initiative focuses on migrating the organisation's analytics platform from Oracle to Microsoft Fabric , enabling scalable, cloud-native analytics and reporting capabilities. The successful candidate will be a highly hands-on engineer with deep expertise in Microsoft Fabric , PySpark , and SQL , capable of designing and delivering enterprise-grade data solutions. Working within an Agile delivery environment, you will contribute across multiple workstreams, helping accelerate the migration, modernisation, and governance of critical data assets. Key Responsibilities Design, develop, and deploy end-to-end data pipelines in Microsoft Fabric. Leverage Change Data Capture (CDC) and Fabric Mirroring capabilities to enable real-time data replication and unified analytics. Support the migration of semantic models and analytical workloads from Oracle to Microsoft Fabric. Build, optimise, and maintain scalable data integration and transformation solutions using PySpark and SQL . Develop and enhance metadata-driven ingestion and orchestration frameworks. Design and implement robust data models for analytics and reporting solutions. Perform data mirroring activities and support replication of source systems into Microsoft Fabric. Execute integration testing and support data quality validation across multiple environments. Contribute to the implementation of Microsoft Purview, including: Data scanning Data cataloguing Data governance enablement Collaborate with architects, analysts, developers, and business stakeholders across the data modernisation programme. Support continuous improvement of platform performance, scalability, and operational efficiency. Work within Agile delivery teams, contributing to sprint planning, estimation, and delivery activities. Essential Skills 6+ years of Data Engineering experience delivering enterprise-scale data solutions. Strong hands-on experience with Microsoft Fabric , including Lakehouse, Data Warehouse, Data Factory, Notebooks, Semantic Models, and Fabric administration concepts. Excellent coding skills in PySpark and SQL with the ability to develop complex data transformations and optimise performance. This is a core requirement for the role. Proven experience designing, developing, and deploying end-to-end data pipelines. Experience implementing CDC (Change Data Capture) solutions and real-time or near real-time data processing architectures. Experience with Microsoft Fabric Mirroring and data replication technologies. Strong understanding of data modelling principles for analytics and reporting. Experience working with modern cloud-based data platforms, including data warehouse and lakehouse architectures. Experience building scalable ETL/ELT frameworks and orchestration solutions. Strong

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