Senior Data Engineer – Azure

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

• 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.
• 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.
• 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.
• 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 [email protected]