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Data Engineer

United Kingdom
£45k – £55k/yr
Posted about 17 hours ago
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Data Engineer

Location: Fully Remote (UK)
Salary: £45,000 - £55,000 + Benefits
Contract: Permanent, Full-Time

We're working with an organisation looking to strengthen its data capability with the addition of a Data Engineer.

This role offers the opportunity to work across a variety of data initiatives, supporting the development and optimisation of modern data platforms and pipelines that enable reporting, analytics, and business decision-making. You'll collaborate with both technical and non-technical stakeholders while contributing to the delivery of reliable, scalable data solutions.

Key Responsibilities

  • Develop and maintain data pipelines and data integration processes
  • Support the delivery of cloud-based data solutions
  • Assist with data modelling, transformation, and optimisation activities
  • Work with stakeholders to understand data requirements and business needs
  • Monitor and improve data quality, reliability, and performance
  • Contribute to data platform enhancements and continuous improvement initiatives
  • Support reporting, analytics, and wider data-driven projects

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

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.

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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.

Required Experience

  • 2-3 years of experience in a Data Engineer or similar data-focused role
  • Strong SQL skills and experience with Python
  • Experience building and maintaining ETL/ELT pipelines
  • Exposure to cloud technologies such as Azure, AWS, or GCP
  • Understanding of data warehousing and modern data platforms
  • Experience working with structured and unstructured datasets
  • Strong analytical and problem-solving skills
  • Ability to communicate effectively with both technical and business stakeholders

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Desirable Experience

  • Exposure to tools such as Databricks, Snowflake, Azure Data Factory, Fabric, Airflow, or dbt
  • Experience using Git or similar version control tools
  • Knowledge of CI/CD practices
  • Familiarity with BI and reporting tools such as Power BI or Tableau

What's on Offer

  • Fully remote working
  • Competitive salary and benefits package
  • Exposure to modern cloud and data technologies
  • Ongoing learning and development opportunities
  • Supportive and collaborative working environment
  • Clear opportunities for career progression

This is an excellent opportunity for a Data Engineer looking to further develop their skills while working on a range of impactful data projects within a growing and forward-thinking team.

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Skills

SQL
Python
ETL/ELT Pipelines
Cloud Technologies
Azure
AWS
GCP
Data Warehousing
Data Modelling
Databricks
Snowflake
Azure Data Factory
Fabric
Airflow
dbt
Git

Location

United Kingdom

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