Harnham
Senior Data Engineer

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Senior Data Engineer
Up to £80,000
Holborn, London (4 days a week in office)
This is an exciting opportunity to join a growing AI and data-driven technology business that is building innovative products powered by advanced analytics and machine learning. You will play a pivotal role in shaping scalable data infrastructure, influencing technical direction, and delivering solutions that create measurable business impact.
THE COMPANY
They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.
THE ROLE
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining the data foundations that power a suite of AI-enabled products and analytics solutions.
Specifically, you can expect to be involved in the following:
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.
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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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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.
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- Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
- Build robust SQL and Python-based data solutions for production use.
- Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
- Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
- Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
- Implement monitoring, validation, data quality controls, and governance processes.
- Support the integration of machine learning outputs into production environments.
- Mentor colleagues and contribute to engineering standards, documentation, and best practice development.
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong commercial experience in Data Engineering and cloud-based data platforms.
- Advanced SQL skills and experience building transformation pipelines.
- Strong Python capability for orchestration, automation, and data tooling.
- Excellent understanding of dimensional modelling and scalable data architecture.
- Experience working with cloud technologies such as Azure, AWS, or GCP.
- Knowledge of CI/CD practices, Git workflows, and deployment lifecycle management.
- Experience implementing data governance, monitoring, and quality controls.
- Ability to work effectively with cross-functional teams and communicate complex technical concepts clearly.
- A collaborative approach with strong problem-solving and stakeholder engagement skills.


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BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary up to £80,000 - depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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