Data Engineer

- Salary €60,000 - €65,000 - Flexible working arrangements About The Information Lab:  The Information Lab is a leading data and ai consultancy specialising in innovative, data-driven solutions that help organisations improve performance, strengthen decision-making and drive growth. We partner with clients across industries to harness data through analytics, AI and cloud technologies.  Role Overview:  We are looking for an experienced Senior Data Engineer to design and deliver high-quality data solutions for our clients. This is a senior, hands-on position requiring a minimum of five years’ professional experience working as a Data Engineer, together with practical experience delivering solutions using Microsoft Fabric.  Reporting to a Senior Manager, you will lead the day-to-day technical execution of client projects, ensure delivery quality and coordinate small project teams. You will work directly with clients to translate business requirements into robust, scalable and well-governed data solutions.  Key Responsibilities - Leverage AI-driven code development using Github Copilot, VS Code and the Fabric MCP Server - Own the technical delivery of data engineering workstreams, from requirements and solution design through to build, testing, deployment and documentation. - Design and build end-to-end solutions in Microsoft Fabric, including Lakehouse, Data Pipelines, Warehouses and Notebooks. - Develop and manage data pipelines across Bronze, Silver and Gold layers using SQL, Python and PySpark. - Create source-to-target mappings and maintain clear data lineage, metadata and technical documentation using Fabric and Purview - Design for schema evolution, security, workspace governance and operational support. - Build reconciliation reporting and implement data quality controls and testing frameworks, including tools such as Great Expectations where appropriate. - Apply Git-based version control and CI/CD practices to support reliable, repeatable deployments. - Design dimensional data models using Kimball principles and build robust Power BI semantic models. - Work directly with clients to clarify requirements, explain technical decisions, present progress and incorporate feedback. - Lead small delivery teams by coordinating activities, delegating tasks, reviewing code and maintaining delivery standards. - Identify delivery risks and technical challenges early, resolving or escalating them as appropriate. - Contribute to pre-sales discussions, solution shaping, internal standards and knowledge sharing. Qualifications & Experience - A minimum of five years’ professional experience working as a Data Engineer, with responsibility for designing, building and delivering production-ready data solutions. - Demonstrable hands-on experience delivering data engineering solutions using Microsoft Fabric. Experience with Fabric Lakehouse, Data Pipelines, Warehouses and Notebooks is required. - Strong SQL, Python and PySpark skills for data ingestion, transformation and analysis. - Experience developing end-to-end data pipelines and implementing medallion architecture. - Strong knowledge of dimensional data modelling, including Kimball standards. - Experience designing and building Power BI semantic models. - Practical experience with Git integration, version control and CI/CD pipelines for data projects. - Experience implementing data quality frameworks, reconciliation processes and testing methodologies. - Ability to produce clear solution designs, source-to-target mappings and technical documentation. - Confidence working directly with clients on requirements, technical decisions and delivery matters. - Experience reviewing technical outputs and coordinating the work of other delivery team members. - Excellent attention to detail, problem-solving and organisational skills.Desirable Experience  - Experience with Databricks, Azure Synapse or other Azure data services alongside Microsoft Fabric. - Previous consulting or client-delivery experience. - Relevant Microsoft certifications, particularly DP-700 or DP-600. DP-203 is also valued. - A bachelor’s or master’s degree in a relevant discipline. Key Performance Indicators (KPIs) - Accurate, complete and technically sound deliverables. - Delivery against agreed milestones and project commitments. - Positive client feedback on technical execution, communication and solution reliability. - Client renewal and commercial growth - High standards of code quality, governance, version control and documentation. - Effective coordination and support of project team members. - Continued development of Microsoft Fabric expertise and relevant certifications. - Contribution to pre-sales activity and identification of further value for existing clients.What we offer: - Competitive salary. - 25 days’ annual leave per year. - Pension and healthcare, subject to successful completion of the probationary period. - Dedicated learning and development days. - Flexible working arrangements. - Team-building days and a collaborative team culture.For more information, please contact [email protected]