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Gazelle Global

Data Engineer

London
Posted about 13 hours ago
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Your Responsibilities:

  • Significant hands-on experience in data engineering, analytics engineering, or related disciplines delivering enterprise data solutions
  • Strong proficiency in Databricks/Snowflake, Redshift, SQL, including building, optimizing, and troubleshooting ETL pipelines
  • Experience designing scalable, maintainable data architectures and dimensional models for reg reporting, and analytical use cases
  • Proven ability to partner with business stakeholders to gather requirements, shape solutions, and communicate effectively
  • Strong understanding of data engineering best practices including version control, testing, documentation, and governance
  • Experience with Git/GitHub for collaborative development, code reviews, and release management
  • Exposure to metadata-driven or configuration-based approaches such as YAML-based metric standardization
  • Demonstrated people leadership, including coaching and developing junior engineers
  • Strong organizational, problem-solving, and communication skills, with the ability to balance technical delivery and apply AI-enhanced practices to improve productivity

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.

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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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Essential Skills/Knowledge/Experience:

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  • AWS Databricks
  • Pyspark
  • Python
  • SQL
  • YAML
  • Redshift

Required Skills

  • Strong proficiency in Databricks/Snowflake, Redshift, SQL, including building, optimizing, and troubleshooting ETL pipelines

Preferred Skills

  • Experience designing scalable, maintainable data architectures and dimensional models for reg reporting, and analytical use cases
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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Databricks
Snowflake
Redshift
SQL
ETL Pipelines
Data Architecture
Dimensional Modeling
PySpark
Python
YAML
AWS
Git
GitHub
People Leadership
Data Governance
Version Control

Location

London, England, United Kingdom

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