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Senior Data Engineer

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Data Engineer | 4-Month Contract | London, UK | Hybrid
Recruiters is partnering with a leading global technology organisation to hire an experienced Data Engineer to join its London-based engineering team.
This is an opportunity to contribute to large-scale data engineering initiatives, developing and maintaining production data pipelines and datasets that support widely used digital products.
Working alongside an established team of Data Engineers and Analysts, you will focus on delivering defined technical projects while ensuring data quality, performance, and reliability.
The Role
- Build, test, and maintain batch ETL pipelines for assigned datasets.
- Develop and optimise SQL queries across large-scale datasets, focusing on performance and data accuracy.
- Use Python for data transformation and pipeline orchestration.
- Implement changes to existing pipelines and tables, including backfills and schema updates.
- Investigate and resolve data quality issues identified through monitoring or stakeholder reporting.
- Develop and maintain data quality checks, automated tests, and technical documentation.
- Contribute to exploratory analysis and prototypes where required.
- Participate in code reviews and follow established Git, deployment, and change management practices.
- Collaborate with Data Engineers, Analysts, and Engineering stakeholders to clarify requirements and deliver 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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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.
Essential Skills & Experience
- 5+ years' experience building and maintaining production data pipelines.
- Strong SQL skills, including performance tuning across large datasets.
- Hands-on Python experience for data transformation and pipeline orchestration.
- Experience with distributed query engines such as Presto, Spark, Hive, or similar.
- Experience with workflow orchestration tools such as Apache Airflow or equivalent.
- Comfortable working with Git and code review-based development workflows.
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Strong communication skills and the ability to work collaboratively within an established engineering team.
Desirable Experience
- Data modelling for analytics, including dimensional or wide-table patterns.
- Dashboard development or experience with BI tools.
- Data quality frameworks and pipeline observability.


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Why Consider This Opportunity?
- Work within a globally recognised technology environment.
- Contribute to data infrastructure supporting widely used digital products.
- Gain exposure to large-scale data engineering challenges and established engineering practices.
- Collaborate with an experienced, international engineering team.
- Opportunity to deliver meaningful technical work within a structured and supportive environment.
The Opportunity
Join an established engineering team within a globally recognised technology organisation, contributing to data infrastructure supporting widely used digital products. This role offers exposure to large-scale data engineering challenges, established engineering practices, and collaboration with experienced technical teams.
Contract Details
- Location: London, UK (Hybrid)
- Duration: 4 Months
- Start: ASAP
- Hours: 40 hours per week, Monday to Friday
To Apply
Please submit your CV for immediate consideration or contact Darren Coleman at Recruiters for further information.
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