SW Group
accountancy
SeniorDataAnalyticsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Analytics Engineer at SW Group. Skills: Data Analytics Engineering, Data Solutions Design and Build, ETL/ELT Pipeline Architecture, Microsoft Fabric, Power BI, Advanced SQL and Python/PySpark. Architect and maintain scalable ETL/ELT pipelines, optimising for performance, reliability, cost, and data quality across multiple data sources. Maintain and troubleshoot medallion architecture and dimensional modelling (star schemas) to support enterprise reporting, KPIs, and Power BI semantic”
Industry & Context.
Identify, resolve, and prevent data quality issues through validation rules, monitoring, alerting, and root-cause analysis
office attendance expected to be 2 days per week
What They're Looking For.
Must Have
Demonstrable experience leading the end-to-end delivery of data and analytics initiatives, Ability to own and drive key data projects from concept to production, Experience in partnering with senior stakeholders to shape priorities, translate business strategy into data solutions and ensure delivered products enable effective decision-making, experience in designing and delivering data solutions on Microsoft Fabric (Lakehouse, Warehouse, semantic models, Power BI), Advanced SQL, Advanced Python/PySpark, engineering practices experience including performance tuning, platform monitoring and CI/CD with version control (GitHub) within modern data workflows
Nice to Have
Experience working in Agile / Scrum delivery environments, Some knowledge of Web APIs, deep understanding Spark and SQL Server internals
What You'll Do.
Architect and maintain scalable ETL/ELT pipelines
optimising for performance
and data quality across multiple data sources
Maintain and troubleshoot medallion architecture and dimensional modelling (star schemas) to support enterprise reporting
and Power BI semantic models
and maintain Lakehouse and Warehouse structures in Microsoft Fabric
including data modelling standards and semantic layers
Provide operational support
and performance tuning for Microsoft Fabric ingestion
and transformation workloads
and prevent data quality issues through validation rules
and root-cause analysis with source system owners
and maintain enterprise-standard Power BI reports and dashboards
aligned to agreed data models
and reporting standards
How You'll Work.
Team & Collaboration
partnering with senior stakeholders to shape priorities; collaboration/documentation skills for working with BI developers, analysts, and business stakeholders
Process & Methodology
own and drive key data projects from concept to production
Full Job Description
At S&W, we help our clients thrive by simplifying the complex, illuminating new paths, and shaping solutions that make a difference. As one of the UK’s top 10 fastest-growing accountancy firms, we have been a trusted partner since 1881—helping businesses and individuals meet challenges and seize opportunities across generations. Built on expertise and driven by ambition, we provide a comprehensive range of services, including tax and accountancy, advisory and assurance, corporate finance, and restructuring. We are defined by our purpose—to help navigate challenges, unlock potential, and achieve the extraordinary. What will you be doing? We’re seeking a passionate and experienced Data Analytics Engineer to join a thriving team and help in the design, build and maintenance of scalable data solutions, that bring together data from across the organisation. You’ll ensure data is well structured, reliable and easy to use for reporting, analytics and in decision‑making. Working as part of the Data Platform Team, you’ll help create a high‑quality, future‑ready data environment that supports business needs now and we continue to grow! This is a permanent opportunity to be based at our Southampton office with office attendance expected to be 2 days per week. As a Data Analytics Engineer your responsibilities will include among others, * Architect and maintain scalable ETL/ELT pipelines, optimising for performance, reliability, cost, and data quality across multiple data sources * Maintain and troubleshoot medallion architecture and dimensional modelling (star schemas) to support enterprise reporting, KPIs, and Power BI semantic models * Design, implement, and maintain Lakehouse and Warehouse structures in Microsoft Fabric, including data modelling standards and semantic layers * Provide operational support, monitoring, troubleshooting, and performance tuning for Microsoft Fabric ingestion, dataflows, and transformation workloads * Identify, resolve, and prevent data quality i
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