Senior Data Engineer

**Great AI starts with great data. We’re looking for a Senior Data Engineer who can build the foundations that make it possible.** As a **Senior Data Engineer** , you’ll design and deliver scalable, production-grade data solutions across **Microsoft Azure and Microsoft Fabric** , creating the trusted data foundations that power analytics and AI. This is more than a hands-on engineering role. You’ll take **end-to-end ownership of technical workstreams** , influence solution design, set engineering standards and mentor other engineers, while working with stakeholders to turn complex data challenges into reliable, scalable solutions. **What you’ll be doing:** * Design and build **batch and streaming data pipelines** using Azure Data Factory, Fabric Data Factory, notebooks and related technologies. * Create curated **lakehouse, data warehouse and semantic data layers** that enable analytics and AI use cases. * Engineer data platforms with **quality, metadata, lineage, monitoring and alerting** built in from the start. * Optimise pipelines and storage for **performance, security, reliability and cost** . * Apply strong software engineering practices including **source control, automated testing and CI/CD** using Azure DevOps or GitHub. * Own technical workstreams **from solution design through to production** , proactively managing dependencies, risks and stakeholders. * Help raise the engineering bar by **reviewing designs, shaping technical standards and mentoring other engineers** . **What we’re looking for:** You’ll bring: * Significant hands-on **data engineering experience** , with strong **SQL** and **Python or PySpark** skills. * Practical experience with **Microsoft Fabric** and/or Azure data technologies such as **Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics or Azure Databricks** . * Strong knowledge of **dimensional modelling, lakehouse patterns, medallion architecture and data integration** . * Experience designing production solutions with **identity, access control, data protection and operational support** in mind. * The ability to take ownership of complex technical workstreams and make sound engineering decisions. * Strong communication skills, with the confidence to explain technical designs and trade-offs to both **technical and non-technical stakeholders** . * A collaborative approach to technical leadership, including **mentoring engineers and improving engineering standards** across a team. **Even better if you have experience with:** * Azure Event Hubs * Apache Kafka * Microsoft Purview * Power BI semantic models * dbt * Relevant Microsoft Azure or Fabric certifications **Why this role?** The quality of an AI or analytics solution is only as strong as the data behind it. This is an opportunity to **own that foundation** : building modern cloud data platforms that are scalable, secure and ready for both analytics and AI, while having a real influence on **how engineering is done** . You’ll stay close to the technology while stepping into a role with greater technical ownership, where you can **shape designs, set standards and help other engineers grow** . If you enjoy solving complex data challenges, want to build with **Microsoft Fabric and Azure** , and are ready to take ownership beyond your own code, **we’d love to hear from you.** **#SeniorDataEngineer #DataEngineering #MicrosoftFabric #Azure #AzureDataFactory #Databricks #PySpark #DataJobs #CloudData #AI**