iO Associates
Test Engineer

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About Our Client
We are recruiting on behalf of our client for a skilled Test Engineer with a focus on test automation and data validation to support data and cloud transformation programmes. This role is ideal for an engineer with experience in ETL testing, automation practices, and cloud-based data platforms.
You will contribute to the design, development, and improvement of automated testing solutions, helping to ensure data quality, reliability, and alignment with client objectives.
Key Responsibilities
- Design and implement automated tests for data pipelines, ETL processes, and cloud-based platforms
- Perform data validation activities, ensuring accuracy, completeness, and integrity across datasets
- Develop and maintain test automation using Python and pytest, with exposure to TDD and BDD (Behave) approaches
- Create and manage test data to support ETL and data warehousing validation
- Contribute to improving automation frameworks to enhance efficiency and reusability
- Collaborate with engineering teams to support shift-left testing practices
- Participate in peer reviews, code reviews, and CI/CD processes
- Support cloud-based solutions, working with platforms such as AWS and Azure, and technologies like Kafka
- Identify opportunities for reuse and standardisation within testing approaches
- Help ensure testing aligns with client objectives and delivery goals
- Contribute to knowledge sharing within teams to support ongoing capability development
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.
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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.
Skills & Experience
Essential
- Experience in test automation for data and ETL processes
- Understanding of data validation techniques and working with datasets
- Proficiency in SQL and experience with relational databases (e.g. Oracle or similar)
- Hands-on experience with Python and frameworks such as pytest
- Exposure to BDD (Behave) and/or TDD approaches
- Knowledge of ETL processes, data warehousing concepts, and tools such as PySpark (or similar)
- Experience working with cloud platforms such as AWS and/or Azure
- Familiarity with event-driven or data streaming technologies (e.g. Kafka)
- Understanding of CI/CD pipelines, version control, and modern development practices
- Experience contributing to test automation frameworks
- Active SC clearance is required for this role, or candidates must be eligible to obtain it.


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Desirable
- Experience working in government or regulated environments
- Exposure to large-scale data transformation programmes
- Awareness of aligning engineering work to organisational strategies
- Knowledge of data architecture patterns and testing approaches
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