At a Glance
- Tasks: Design and maintain scalable data solutions for impactful decision-making.
- Company: Join one of the UK's fastest-growing accountancy firms with a rich history.
- Benefits: Competitive salary, private medical insurance, generous holiday package, and hybrid working.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real difference by shaping data solutions that drive business success.
- Qualifications: Experience in data analytics, Microsoft Fabric, SQL, and Python required.
The predicted salary is between 60000 - 75000 € per year.
Company 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.
Job Description
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 issues through validation rules, monitoring, alerting, and root‑cause analysis with source system owners.
- Design, build, and maintain enterprise‑standard Power BI reports and dashboards, aligned to agreed data models, governance, and reporting standards.
Qualifications
Skills and Experience
To be successful in this role, you should have:
- Demonstrable experience leading the end-to-end delivery of data and analytics initiatives, ensuring outcomes are aligned to both data strategy and broader business objectives.
- Ability to own and drive key data projects from concept to production, balancing delivery pace with quality, scalability and measurable business impact.
- Experience in partnering with senior stakeholders to shape priorities, translate business strategy into data solutions and ensure delivered products enable effective decision-making.
- Strong experience in designing and delivering data solutions on Microsoft Fabric (Lakehouse, Warehouse, semantic models, Power BI), with a strong focus on scalable architecture and data modelling principles.
- Advanced SQL and Python/PySpark, applied across ETL/ELT development, optimisation, and automation of data pipelines.
- Strong engineering practices experience including performance tuning, platform monitoring and CI/CD with version control (GitHub) within modern data workflows.
Desired
- Experience working in Agile / Scrum delivery environments.
- Strong collaboration/documentation skills for working with BI developers, analysts, and business stakeholders.
- Define and maintain master data structures to deliver a single, accurate client view and ensure consistent data flow across applications.
- Some knowledge of Web APIs and deep understanding Spark and SQL Server internals.
Additional Information
As a colleague here at S&W you will have access to benefits that include:
- Competitive salary.
- Private medical insurance.
- Life assurance.
- Pension contribution.
- Hybrid working model (role dependent).
- Generous holiday package.
- Option to purchase additional holiday.
- Shared parental leave.
- Cycle to work scheme.
- Season ticket loan.
- Eye care support.
We are proud to value the differences that a diverse workforce brings, representative of society and our clients. At S&W we have a wide range of highly active employee resource groups and we’re delivering multiple diversity, equity and inclusion initiatives across the organisation. It is our commitment to provide a workplace where all colleagues, regardless of identity, background, or circumstance, feel respected as individuals and feel that they can achieve their full potential and work in a safe, supportive, and inclusive environment.
We are happy to make any reasonable adjustments to accommodate for your needs throughout the application process. Please let your Recruiter know.
Senior Data Analytics Engineer in Southampton employer: SW Group
At S&W, we pride ourselves on being one of the UK’s top 10 fastest-growing accountancy firms, offering a dynamic work environment in our Southampton office. Our commitment to employee growth is reflected in our comprehensive benefits package, including private medical insurance and a generous holiday allowance, alongside a strong focus on diversity and inclusion. Join us to be part of a collaborative team that values innovation and empowers you to make a meaningful impact through your work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to current employees at S&W on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills, especially around Microsoft Fabric and data modelling. We want to see how you can bring your expertise to the table, so be ready to showcase your knowledge!
✨Tip Number 3
Don’t forget to highlight your experience with collaboration and stakeholder management. At S&W, we value teamwork, so share examples of how you've successfully partnered with others to drive data projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at S&W.
We think you need these skills to ace Senior Data Analytics Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analytics Engineer role. Highlight your experience with data solutions, Microsoft Fabric, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background aligns with our mission at S&W. Let us know what excites you about this opportunity and how you can contribute.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in SQL, Python, and ETL/ELT processes. We’re looking for someone who can hit the ground running, so make sure we can see your expertise clearly in your application.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy to do!
How to prepare for a job interview at SW Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analytics. Be ready to discuss specific ETL/ELT pipelines you've built and how they improved data quality or reporting. This will show your hands-on experience and understanding of the role.
✨Speak Their Language
Familiarise yourself with the terminology used in the job description, especially around Microsoft Fabric, Power BI, and data modelling principles. Use these terms during the interview to demonstrate that you’re not just a fit for the role but also understand their specific needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved data quality issues in the past. Discuss the validation rules you implemented and how they impacted decision-making. This will highlight your analytical skills and proactive approach.
✨Engage with Stakeholders
Be ready to talk about your experience working with senior stakeholders. Share how you’ve translated business strategies into actionable data solutions. This will illustrate your ability to bridge the gap between technical and non-technical teams, which is crucial for this role.
