Tiro Partners Limited
Senior Data Engineer

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Data Engineer | Python, SQL & Data Pipelines
Role: Senior Data Engineer
Company: Computer Vision Startup
Location: London, Hybrid
Salary: up to 95,000 + Benefits
We’re looking for a talented Data Engineer to join a fast-growing, award-winning technology company transforming an industry through advanced data platforms and digital innovation.
This is an exciting opportunity to work within a multidisciplinary engineering environment spanning cloud platforms, AI & computer vision, embedded systems, data science, and large-scale data processing. You’ll play a key role in building scalable data infrastructure and developing robust pipelines that power next-generation products.
What You’ll Be Doing
- Design, develop, and maintain scalable data pipelines using Python and orchestration tools such as Dagster.
- Create and optimise efficient data models to support both transactional and analytical workloads.
- Develop high-performance SQL queries, procedures, and integrations for APIs and data services.
- Debug, enhance, and maintain existing systems and codebases.
- Build and execute unit and integration tests to ensure reliability and maintainability.
- Conduct profiling and performance optimisation to improve scalability and responsiveness.
- Produce clear technical documentation for pipelines, databases, and architecture.
- Collaborate with cross-functional engineering teams across backend, cloud, and product development.
- Contribute to architectural decisions and continuously evaluate new technologies and best practices.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
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.
Required Skills & Experience
- Degree in Computer Science, Engineering, or equivalent practical experience.
- Strong experience with relational databases and SQL (PostgreSQL preferred).
- Excellent Python programming and object-oriented development skills.
- Experience designing data models for both operational and analytical systems.
- Strong debugging, troubleshooting, and performance tuning capabilities.
- Experience using Git and participating in collaborative code reviews.
- Strong communication and teamwork skills.
- Passion for building scalable in-house technology solutions using both custom and off-the-shelf tools.


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Nice to Have
- Experience with Dagster or similar orchestration platforms.
- Familiarity with CI/CD pipelines and tools such as GitHub Actions.
- Knowledge of REST and/or GraphQL APIs.
- Experience working in Linux environments.
- Familiarity with Docker and Kubernetes.
- Understanding of Test-Driven Development (TDD), PyTest, and software design patterns.
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