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Lead Data Engineer

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LEAD DATA ENGINEER
Salary up to £120,000 + 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
Lead the design and development of scalable data infrastructure using Python 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 Lead Data Engineer to join an ambitious technology business with exciting expansion plans. You'll play a key role in shaping the organisation's data capability, working alongside a collaborative engineering team to deliver scalable data solutions that support a range of innovative products. This is an excellent opportunity for someone who enjoys solving complex technical challenges within a fast-paced environment.
THE BENEFITS
- Competitive salary up to £120,000
- Competitive equity package
- Hybrid working with 4 days per week in the London office
- Private healthcare
- Opportunity to influence technical direction across the data function
- Work within a collaborative engineering environment
- Clear progression opportunities as the business continues to grow
- 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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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 LEAD DATA ENGINEER ROLE:
As the Lead Data Engineer, you'll be responsible for designing, building and maintaining scalable data platforms that support business-critical applications. You'll develop robust data pipelines, optimise data storage and processing, implement best practices around data quality and governance, and work closely with cross-functional engineering teams to deliver reliable, high-performing data solutions. You'll also provide technical guidance, helping to drive engineering standards and continuous improvement across the data function.
LEAD DATA ENGINEER ESSENTIAL SKILLS
- Commercial experience within a Lead Data Engineer, Senior Data Engineer or Backend Engineering role
- Strong Python development skills
- Experience designing and building scalable data pipelines
- Strong knowledge of SQL and database technologies
- Experience working with modern data processing and orchestration tools
- Knowledge of cloud platforms such as AWS, Azure or GCP
- Experience working within agile software engineering environments
- Excellent communication, stakeholder management 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
Lead Data Engineer, Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Cloud, AWS, Azure, GCP, Data Architecture, Data Modelling, Data Warehousing, Distributed Systems, Big Data, Agile.
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