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Quantum

Graduate Data Engineer

Quantum

. Help build and maintain data pipelines that ingest, clean and move data across systems .

Posted 10/7/2026full-timeLondon • United KingdomEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in building and maintaining data pipelines, with a strong foundation in Python and SQL for data integration and transformation. Demonstrates attention to detail and a proactive approach to problem-solving in a collaborative team environment.

Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyData ValidationProcess Improvement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data IngestionData TransformationSchema ValidationAutomation ImplementationData Documentation
Soft Skills
Attention to DetailProactive Problem-SolvingTeam CollaborationOrganizational SkillsEffective Communication
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Software EngineeringBachelor's Degree in Data ScienceBachelor's Degree in Mathematics
Industry Keywords
Data EngineeringData QualityIntegration LogicFast-Paced EnvironmentTechnical Concepts

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Help build and maintain data pipelines that ingest, clean and move data across systems
  • Support onboarding of new data sources by writing and testing integration logic
  • Apply transformations to turn raw data into structured, trustworthy datasets
  • Help monitor ingestion pipelines and flag issues early
  • Check for anomalies and validate schemas and formats
  • Identify and implement automation and process improvements
  • Document data rules, pipeline logic and key processes
  • Stay up to date with engineering practices and tools
  • Contribute fresh ideas to the Data Engineering team

Requirements

What you’ll need
  • Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)
  • Some exposure to coding, ideally Python or SQL, through studies, projects or self-teaching
  • Genuine eagerness to deepen coding skills
  • Keen eye for detail and passion for getting data right
  • Comfortable picking up new tools, platforms and technical concepts quickly
  • Proactive and inquisitive, happy to ask questions and figure things out
  • Organised and methodical in tasks and documentation
  • Thrives when working as part of a team
  • Comfortable in a fast-paced environment
  • Excellent written and verbal English skills
  • No ego
  • Must be able to commit to working three days in the London office: Tuesday, Wednesday and Thursday
  • Must answer whether sponsorship to work in the UK is required now or in the future

Benefits

Comp & perks
  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Company Bonus Scheme
  • Paid for AI Subscription (Claude / ChatGPT / Gemini)
  • Market-Leading Training Programme
  • Recognition & Reward Scheme
  • Annual Company Conference
  • Regular Happy Hours & Team Lunches
  • Free Coffee, Drinks & Snacks