At a Glance
- Tasks: Design and build high-quality data products and dashboards for impactful decision-making.
- Company: Join Serco, a company passionate about innovation and diversity.
- Benefits: Flexible working, pension contributions, discounts, and extensive career development opportunities.
- Other info: Opportunity to work on innovative projects that enhance public services.
- Why this job: Shape the future of analytics in a supportive and dynamic environment.
- Qualifications: 5+ years in analytics engineering with strong BI and cloud platform experience.
The predicted salary is between 26530 - 29114 £ per year.
Here at Serco, we’re looking for a Senior Analytics Engineer to design and build high-quality, analysis-ready data products and enterprise dashboards that enable trusted decision-making across UK&E. You will define and implement semantic modelling standards, ensure consistency and reliability of data products, and act as a specialist advisor on analytics engineering, BI consumption models, and reporting.
You will play a key role in shaping scalable, governed, and reusable data assets that support enterprise reporting, self-service analytics, and advanced insight generation.
Key Responsibilities- Build advanced dashboards and reporting solutions (Power BI, Databricks or similar) to support KPI, operational, strategic, and ad-hoc insight needs.
- Design and maintain enterprise semantic models (dimensional, canonical, and lakehouse gold layers) ensuring consistency and scalability.
- Publish certified, governed datasets and define standards for BI consumption, enabling reliable self-service analytics.
- Partner with data engineering to improve data quality, enforce security standards, and maintain lineage, metadata, and documentation.
- Implement and optimise data pipelines and analytics models using Spark, Delta Lake, and cloud-native tooling.
- Coach and support analytics engineers and analysts through code reviews, mentoring, and best practice adoption.
- Translate stakeholder requirements into clear, prioritised, high-value data products while challenging ambiguity and assumptions.
- Act as an SME for analytics solutions across Azure/AWS and Databricks-based environments.
- Drive performance, cost efficiency, and scalability of analytics solutions through continuous optimisation.
- Promote modern analytics engineering standards including CI/CD, testing frameworks, and reusable patterns.
- Strong BI experience across Microsoft stack (Power BI, SQL Server/SSRS, Excel); exposure to Tableau, Qlik, SAP Analytics Cloud or Domo desirable.
- Expert in data modelling (dimensional and lakehouse architectures) and enterprise dataset design.
- Advanced Databricks and Spark engineering (Delta Lake, performance tuning, orchestration, schema evolution).
- Strong understanding of cloud data platforms (Azure or AWS) and secure, scalable data architectures.
- Experience implementing data quality frameworks, validation, profiling, and documentation standards.
- Expertise in semantic modelling, metrics layers, and certified dataset design for BI consumption.
- Strong communication skills, able to translate complex technical concepts for non-technical stakeholders.
- Strong analytical and data synthesis capability.
- 5+ years' experience in enterprise-scale analytics, BI, or analytics engineering environments.
- Proven experience delivering production-grade analytics solutions in complex organisations.
- Cloud certifications (Azure, AWS, Databricks) - desirable.
- SC clearance (or willingness to obtain it).
- Flexible working considered.
- Pension - 6%.
- Chance to contribute to innovation in the public services.
- A company passionate about diversity and inclusion.
- Serco discounts which include cinema, merlin entertainment and online shopping discounts, and discounts on mobile phone plans and leisure centre memberships.
- A range of benefits to support the health and wellbeing of you and your family such as Employee Assistance Programme, Simply Health Cash Plans, and more.
- A wealth of career development training to suit your future aspirations. These range from role specific training, leadership coaching, formal study and much more to support you to build your career with Serco.
- A safe and supportive culture.
Senior Analytics Engineer in Bristol employer: Serco Limited
At Serco, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bristol. Our commitment to employee growth is evident through extensive training opportunities and a supportive environment that values diversity and inclusion. With flexible working options and a comprehensive benefits package, including health and wellbeing support, Serco is dedicated to empowering our employees to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially those advanced dashboards and data products you've built. This will give hiring managers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with BI tools like Power BI and Databricks, and how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at StudySmarter. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace Senior Analytics Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior Analytics Engineer role. Highlight your experience with BI tools like Power BI and your expertise in data modelling. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics engineering and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements that showcase your skills.
Showcase Your Technical Skills:We’re keen on your technical prowess, so be sure to include specific examples of your work with Databricks, Spark, and cloud platforms like Azure or AWS. This will help us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Serco Limited
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Power BI, Databricks, and Spark. Prepare to discuss your experience with these technologies and how you've used them to build dashboards or optimise data pipelines.
✨Showcase Your Data Modelling Skills
Be ready to talk about your expertise in data modelling, especially dimensional and lakehouse architectures. Bring examples of how you've designed enterprise datasets and ensured their consistency and scalability in previous roles.
✨Communicate Complex Ideas Simply
Since you'll need to translate technical concepts for non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your strong communication skills and ability to bridge the gap between tech and business.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to challenge assumptions or improve data quality. Be ready to explain your thought process and the impact of your decisions on the project.
