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Sanderson

Senior Data Engineer

United Kingdom
£510 – £680/day
Posted about 13 hours ago
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Senior & Lead Data Engineers - Outside IR35 - Remote

1x Lead Data Engineer Vacancies - £595 to £680 Outside IR35 3x Senior Data Engineer Vacancies - £510 to £595

Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
Pay Rate: £500-£680 Outside IR35

The Opportunity

We're supporting a major household brand supporting their loyalty and rewards arm of the organisation. They are expanding its data engineering capability as part of a wider investment in its data platform.

They are seeking experienced Data Engineers to build and enhance cloud-based data solutions, working alongside senior technical leadership within a modern data environment.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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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.

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Strong

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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Strong

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.

Key Responsibilities

  • Develop and maintain data pipelines and data products.
  • Build and optimise data models within the data platform.
  • Support the delivery of scalable and reliable data solutions.
  • Contribute to code reviews and engineering best practices.
  • Collaborate with technical stakeholders to deliver business requirements.
  • Support ongoing platform development and improvement initiatives.

Technical Environment

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  • AWS
  • Snowflake
  • DBT

Required Skills & Experience

  • Strong Data Engineering experience.
  • Hands-on expertise with AWS, Snowflake and dbt.
  • Strong SQL skills.
  • Experience building and supporting modern cloud-based data platforms.
  • Understanding of data modelling and data transformation principles.
  • Ability to work within collaborative engineering teams.

Desirable Skills

  • Airflow
  • Databricks
  • AI-focused development experience
  • Semantic layer experience
  • Exposure to Azure-based / other cloud environments and integrations.
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Skills

Data Engineering
AWS
Snowflake
DBT
SQL
Cloud-based Data Platforms
Data Modelling
Data Transformation
Collaboration
Airflow
Databricks
AI-focused Development
Semantic Layer
Azure
Integrations

Location

United Kingdom

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