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RC Fornax

Senior Data Engineer

Reading
£65 – £69/hr
Posted about 22 hours ago
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Job Title: Senior Data Engineer

Location: Reading (Hybrid)
Contract Length: 6 Months
Rate: £500 a Day

Key Responsibilities

  • Design and maintain secure, scalable, cloud-based data platforms and architectures.
  • Develop enterprise data pipelines, integration frameworks, and data products.
  • Implement DataOps, DevOps, CI/CD, and Infrastructure as Code best practices.
  • Ensure data quality, governance, security, compliance, and operational reliability.
  • Support cloud migration and data modernisation programmes.
  • Provide technical leadership, mentoring, and stakeholder engagement.
  • Enable advanced analytics, AI, and data-driven decision-making capabilities.

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.

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.

Requirements

  • Experience within Defence, MOD, Aerospace, or highly regulated environments.
  • 7+ years' experience in Data Engineering, Data Platforms, or related disciplines.
  • Strong expertise in enterprise-scale data architecture and cloud data platforms.
  • Hands-on experience with Azure, AWS, or GCP.
  • Strong SQL, Python, Spark, ETL/ELT, and data integration experience.
  • Experience with DataOps, CI/CD, Infrastructure as Code, and automation.
  • Excellent stakeholder management and leadership skills.

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Desirable

  • Cloud or Data Engineering certifications.
  • Experience with Databricks, Snowflake, Fabric, Airflow, or Azure Data Factory.
  • Knowledge of AI/ML, MLOps, Data Mesh, or Data Fabric architectures.
  • TOGAF, DAMA CDMP, or related certifications.
  • Experience leading large-scale data transformation programmes.
  • Knowledge of defence security standards and classified environments.
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Skills

Data Engineering
Cloud Data Platforms
Azure
AWS
GCP
SQL
Python
Spark
ETL/ELT
DataOps
CI/CD
Infrastructure as Code
Stakeholder Management
Data Architecture
Data Integration
Technical Leadership

Location

Reading, England, United Kingdom

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