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Solvex Solutions

Technical Lead

City of Edinburgh
Posted about 18 hours ago
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Tech Lead

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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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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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

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Location: Edinburgh, UK

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Type: Contract (Outside IR35)

Job Description

Primary Skills:

  • Databricks platform (Apache Spark, Delta Lake, Databricks SQL)
  • Azure
  • Python

Key Responsibilities:

  • Direct, manage, and mentor a high-performing team of 20 Data Engineers (including Lead and Senior levels).
  • Foster a collaborative environment, driving technical excellence, code quality, and best practices across the engineering lifecycle CI/CD.
  • Conduct code reviews, provide constructive feedback, and guide the team through complex technical challenges.
  • Serve as the primary Subject Matter Expert (SME) for the Databricks platform.
  • Architect, design, and implement scalable, robust data pipelines and architecture utilizing Python.
  • Ensure data infrastructure is optimized for performance, reliability, and security.
  • Act as the primary point of contact between the Data Engineering team and cross-functional stakeholders (e.g., Data Science, Product, and Executive teams).
  • Translate complex business requirements into clear, actionable technical specifications.
  • Communicate project timelines, risks, and technical constraints clearly to non-technical audiences.
  • Plan, prioritize, and manage the team's workload to ensure the timely delivery of key data initiatives.
  • Utilize strong analytical and problem-solving skills to make high-impact technical and architectural decisions.
  • Navigate competing priorities and dynamically allocate resources to meet the strategic goals of the business.
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Skills

Databricks
Apache Spark
Delta Lake
Databricks SQL
Azure
Python
CI/CD
Data Engineering
Architecture Design
Team Leadership
Code Review
Stakeholder Management

Location

City of Edinburgh, Scotland, United Kingdom

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