Senior Data Engineer – Azure

We are seeking an experienced Azure Data Engineer to join a global technology organization on a strategic data modernization initiative. This is an opportunity to play a key role in transforming a legacy data platform into a modern cloud-based analytics ecosystem built on Microsoft Fabric and Azure technologies. You will be responsible for enhancing existing ETL processes, designing scalable data solutions, and driving the migration from an on-premises PostgreSQL data lake to a modern cloud architecture. Working closely with Data Management, Analytics, and Business stakeholders, you will help deliver trusted, high-quality data that powers reporting, business intelligence, and strategic decision-making. Why Join? - Join a leading global IT services organisation - Work on a high-profile data transformation programme - Gain hands-on experience with Microsoft Fabric and modern Azure data technologies - Collaborate with talented data professionals across engineering, analytics, and governance teams - Influence the future data architecture and analytics strategy of the organisation Key Responsibilities Data Engineering & Platform Modernisation - Support, maintain, and enhance existing ETL pipelines within an on-premises PostgreSQL data lake environment. - Lead the migration of data ingestion, transformation, and orchestration processes to Microsoft Fabric using cloud-native best practices. - Design, develop, and optimise scalable data pipelines that support enterprise analytics and reporting requirements. - Build and maintain robust SQL-based transformation logic, including views, stored procedures, functions, and analytical datasets. - Develop and optimise data models across lakehouse, dimensional, and relational architectures. Analytics & Business Intelligence - Create and maintain data structures that support reporting and self-service analytics. - Develop and optimise Power BI semantic models and datasets. - Work closely with analytics and reporting teams to ensure data solutions are performant, scalable, and business-focused. - Enable reliable business insights through efficient aggregation and transformation of data from multiple sources. Data Quality & Governance - Implement automated data quality controls, validation rules, and monitoring within ETL and transformation workflows. - Identify, investigate, and resolve data quality issues through root-cause analysis and remediation activities. - Support Master Data Management (MDM) and reference data processes. - Collaborate with Data Stewards and business stakeholders to improve data quality, consistency, and governance. - Ensure data is sourced from approved, governed systems and aligned with enterprise data standards. Documentation & Collaboration - Document data pipelines, transformation logic, data models, and architectural decisions. - Contribute to the evaluation and implementation of data governance, architecture, and data quality frameworks. - Work within Agile delivery teams and collaborate effectively across technical and business functions. Required Skills & Experience - Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related discipline. - 4+ years' experience in Data Engineering, Analytics Engineering, or a related field. - Strong expertise in SQL, including complex transformations, query optimisation, and data modelling. - Experience building and supporting ETL/ELT pipelines in on-premises, hybrid, or cloud environments. - Strong experience with PostgreSQL, SQL Server, MySQL, or similar relational database platforms. - Experience delivering data platform modernisation or cloud migration projects. - Hands-on experience with Microsoft Azure and/or Microsoft Fabric. - Knowledge of modern data lake, lakehouse, and data warehouse architectures. - Experience with Python, Spark, or other modern data engineering technologies. - Understanding of data governance, data quality, metadata management, and MDM concepts. - Strong analytical and problem-solving skills. - Excellent communication skills with the ability to translate business requirements into technical solutions. - Self-motivated and comfortable working in fast-paced, evolving environments. Desirable Experience - Microsoft Fabric certification (DP-600 and/or DP-700). - Experience with Microsoft Fabric Lakehouse, Data Factory Pipelines, Data Engineering, and Real-Time Analytics workloads. - Experience within Financial Services, Asset Management, Investment Management, or Capital Markets environments. - Exposure to enterprise data governance platforms and data quality tooling. Salary dependent on candidate experience. Benefits: Annual Bonus Scheme. Contributory Pension. Private Medical Insurance. Life Assurance & Long-Term Disability. Employee Assistance Programme. 22 days annual leave + 10 public holidays. Relocation package. Continuous Learning & Development. Access to extensive training & certification resources. Lunch & Learn sessions. Additional perks including company discounts, on-site parking, and bike-to-work scheme Based in Letterkenny, Co. Donegal. Hybrid (3 days onsite per week). Candidates must be eligible to work in Ireland/EU. For more information, please contact David Coyle at 01 635 1748 or email david@methodius.com