Harnham
Data Engineer

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Data Engineer
Up to £70,000 + Benefits
Central London (Hybrid Working)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and developing a modern cloud-based analytics platform that supports data-driven decision-making across the business.
THE COMPANY:
Operating at the heart of the music industry, you will be part of an ongoing digital transformation programme, the business is investing heavily in its cloud-based Analytic Data Platform, creating an opportunity to work with cutting-edge data technologies while contributing to a platform that delivers real-world impact.
THE ROLE:
Key responsibilities include:
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.
- Designing, building and maintaining scalable data pipelines and integrations.
- Developing robust ETL and data transformation processes to support analytics and reporting requirements.
- Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions.
- Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible data across the organisation.
- Contributing to engineering best practice, automation, testing, documentation and continuous improvement initiatives.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- SQL and Python development.
- Building and maintaining ETL/data pipelines in production environments.
- Cloud-based data platforms, ideally within AWS.
- Data modelling, transformation and orchestration methodologies.
- Delivering high-quality, well-documented and thoroughly tested data solutions.
- Experience with Snowflake, DBT and Apache Airflow.
- Interest in AI and emerging technologies within the data engineering landscape.


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THE BENEFITS:
You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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