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RED Global

Data Engineer

Glasgow
Posted about 14 hours ago
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Job Title: Data Engineer

Contract: 8 months
Working pattern: Full time
Location: Hybrid in Glasgow
IR35 status: Inside

Responsibilities:

  • Design, develop, and maintain scalable batch and real-time data pipelines using PySpark, Spark, Python, and AWS services.
  • Build and optimize data lakes and data warehouse solutions ensuring data quality, security, and accessibility.
  • Develop reusable, production-grade ETL/ELT frameworks and data processing solutions.
  • Implement orchestration workflows using AWS Step Functions, Airflow, and other automation tools.
  • Develop and maintain cloud infrastructure using AWS CloudFormation.
  • Collaborate with business stakeholders to understand requirements and translate them into scalable technical solutions.
  • Optimize data processing performance, monitoring, and operational support.
  • Implement unit testing, code reviews, and CI/CD best practices using GitLab.
  • Support platform modernization and migration initiatives leveraging Spark-based architectures.
  • Work closely with Data Scientists and Analytics teams to enable AI/ML use cases.

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 Skills

  • Strong hands-on experience in Data Engineering with delivery of production-grade solutions.
  • Expertise in PySpark, Apache Spark, Python, and SQL.
  • Strong experience designing and optimizing complex data pipelines and ETL/ELT frameworks.
  • Hands-on experience with AWS services
  • Experience with AWS CloudFormation for Infrastructure as Code.
  • Strong understanding of data lakes, data warehouses, and distributed data processing.
  • Experience with GitLab, CI/CD, Unit Testing, and DevOps practices.
  • Excellent problem-solving skills and ability to work independently.
  • Strong stakeholder management and communication skills.

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Skills

PySpark
Apache Spark
Python
SQL
AWS
AWS CloudFormation
Databricks
ETL/ELT
AWS Step Functions
Airflow
GitLab
CI/CD
Data Lakes
Data Warehousing
Distributed Data Processing
Stakeholder Management

Location

Glasgow, Scotland, United Kingdom

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