Harnham
Senior Analytics Engineer

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Senior Analytics Engineer
Oxford/Hybrid
Up to £65,000
This is an excellent opportunity for a Senior Analytics Engineer to play a key role in a growing data-driven organisation undergoing significant digital transformation. You will help shape the future of a cloud-based data platform, working on modern analytics engineering challenges while influencing technology decisions across the business.
Roles and Responsibilities:
The Senior Analytics Engineer will:
- Develop, maintain, and enhance cloud-based data platforms and analytics solutions
- Design and build scalable ETL and ELT pipelines to support reporting and data products
- Work closely with stakeholders to translate business requirements into technical solutions
- Develop and optimise data warehouses, data marts, and reporting environments
- Ensure high standards of data quality, performance, reliability, and governance
- Automate data processes and deployments using modern engineering practices
- Monitor, troubleshoot, and continuously improve data infrastructure
- Contribute to data architecture decisions and support the modernisation of legacy systems
- Create clear technical documentation and maintain best practices across data engineering workflows
- Collaborate with developers, analysts, and business teams to deliver impactful data solutions
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Skills and Experience:
The ideal candidate will have the following skills and experience:
- Strong commercial experience with Azure-based data technologies such as Azure SQL, Azure Data Factory, Microsoft Fabric, Synapse, or related platforms
- Expertise in designing and maintaining modern data warehouse architectures
- Advanced SQL skills and experience with CI/CD processes and Azure DevOps
- Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation
- Experience working with ETL and ELT frameworks and data management best practices
- Knowledge of data security, governance, and regulatory requirements
- Experience with analytics and visualisation tools such as Power BI or similar platforms
- Familiarity with Git version control and collaborative development practices
- The ability to communicate effectively with both technical and non-technical stakeholders
- A proactive approach to problem-solving and delivering high-quality solutions


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