Spencer Scott - Technology Recruitment
Data Engineer

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Azure Data Engineer
Azure Data Engineers wanted by a London-based HealthTech company at the forefront of revolutionising healthcare through cutting-edge AI / Automation technology and data-driven solutions.
Their mission is to improve patient outcomes and streamline healthcare processes by leveraging the power of data. As an Azure Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. Working closely with data science, analytics, and engineering teams to ensure that data systems are robust, scalable, and secure.
In this role, you will contribute to a broad portfolio of automation and engineering initiatives that support both client-facing projects and the creation of scalable internal solutions. Working collaboratively with multidisciplinary teams, you will design, build, and enhance automation tools that streamline manual and repetitive tasks.
The position combines practical engineering expertise with a focus on continuous improvement, innovation, and operational efficiency. By developing reliable, user-friendly, and effective solutions, you will help improve delivery quality, increase productivity, and reduce costs across the team.
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.
We’re looking for:
- 3+ years’ Data Engineering experience
- Strong SQL & Python skills
- Azure experience – particularly Azure Data Factory, Databricks & SQL
- Strong data modelling experience across relational and analytical data
- Experience building ELT data pipelines
- Git / Azure DevOps and CI/CD experience
- Experience designing scalable infrastructure and automating data processes
Healthcare / Life Sciences experience is highly desirable, particularly experience working with sensitive or real-world health data.
Package:
- Generous Bonus Scheme
- 14% Pension
- Flexible hours
- Training Fund
- Life Assurance
- Private Medical Insurance
- Volunteering
- Electric Car Scheme


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Working on a hybrid model, the team goes on-site 2 days a week in the modern Central London hub. Your colleagues will also be on-site, so there is some meaning, collaboration, and meaning. It will be a 2-stage interview process, which has been designed to be as quick and pain-free as possible.
If you are interested in applying for this opportunity and would like to find out more information, please click the apply button, and a Spencer Scott Associate will be in touch.
Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity, or expression. We celebrate diversity and are committed to creating inclusive working environments for all our clients.
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