Senior Data Engineer job opportunity at Sword Group.



Date2025-12-16T16:38:08.088Z bot
Sword Group Senior Data Engineer
Experience: General
Pattern: Full-time
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degreeGeneral
United Kingdom

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformation change within our clients.  We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications.  We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. We now have an opportunity for a Senior Data Engineer to join our team. This is a senior, client-facing role with responsibility for shaping, designing, and delivering modern data and AI solutions across a range of client engagements. You will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands-on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities. As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics strategy, and help clients realise tangible value from their data investments. The role also includes contributing to pre-sales activities, supporting proposals and solution design, mentoring junior team members, and helping to grow our data and AI consultancy capability. Requirements: Design and deliver end-to-end data & analytics solutions using Azure, Microsoft Fabric, and Power BI, but not limited to this technology stack Act as a trusted advisor, translating business requirements into scalable, secure data architectures Lead data engineering and architecture across ingestion, storage, transformation, and analytics layers Build and optimise Power BI reports and semantic models for actionable insights Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows Drive pre-sales and client engagements, including solution shaping, proposals, and presentations Ensure solutions meet data governance, security, and compliance standards Stay up-to-date with AI innovations, advising clients on adoption and improvements Strong hands-on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL) Proven experience designing and delivering solutions using Microsoft Fabric, including Lakehouse, Warehousing, Data Engineering, and Real-Time Analytics Advanced skills in Power BI, including semantic modelling (DAX), performance optimisation, and enterprise-scale deployments Solid background in data architecture, including data modelling, integration patterns, and modern analytics architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms and reporting solutions Understanding of data governance, security, and compliance, including role-based access control and data quality frameworks Familiarity with DevOps / CI-CD practices for data platforms (e.g. Azure DevOps, Git, automated deployments) Experience working in client-facing or consultancy environments, delivering solutions across multiple stakeholders Strong understanding of cloud cost management, performance tuning, and scalability Exposure to pre-sales technical activities, such as solution design, estimations, and proof-of-concepts (desirable)

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