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Senior Data Engineer

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SENIOR DATA ENGINEER
Salary up to £100,000 + Equity
London-based role – hybrid working with 4 days per week in the office
Join a fast-growing technology business building modern, cloud-based data platforms
Develop scalable data infrastructure using Python, SQL and cloud technologies
Apply online or contact Chelsea Hackett via chelsea.hackett@searchability.com
ABOUT THE CLIENT
Due to continued growth, we're recruiting for a Senior Data Engineer to join an ambitious technology business with exciting expansion plans. You'll work as part of a collaborative engineering team, helping to design and deliver scalable data solutions that support innovative products and business-critical applications. This is an excellent opportunity for an experienced Data Engineer looking to take ownership of complex technical challenges while working with modern technologies.
THE BENEFITS
- Competitive salary up to £100,000
- Competitive equity package
- Hybrid working with 4 days per week in the London office
- Private healthcare
- Opportunity to work on large-scale data platforms
- Collaborative engineering environment
- Excellent career progression within a growing technology business
- Exposure to modern cloud and data technologies
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.
THE SENIOR DATA ENGINEER ROLE:
As a Senior Data Engineer, you'll design, build and optimise scalable data pipelines that support high-performance applications and analytics. You'll develop reliable ETL processes, improve data quality and platform performance, and work closely with Product and Engineering teams to deliver robust data solutions. You'll also contribute to architectural decisions, implement engineering best practices, and help drive continuous improvements across the data platform.
SENIOR DATA ENGINEER ESSENTIAL SKILLS
- Commercial experience within a Data Engineering or Backend Engineering role
- Strong Python and SQL development skills
- Experience designing and building scalable data pipelines
- Experience working with relational and NoSQL databases
- Knowledge of modern data processing and orchestration tools
- Experience with AWS, Azure or GCP
- Strong understanding of data modelling and data architecture
- Excellent communication, collaboration and problem-solving skills


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TO BE CONSIDERED:
Please either apply through this advert or email me directly via chelsea.hackett@searchability.com. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS
Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Data Architecture, Data Modelling, PostgreSQL, NoSQL, Cloud, AWS, Azure, GCP, Big Data, Agile.
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