Data Engineer

Oscar

London

Hybrid

GBP 60,000 - 80,000

Full time

14 days+
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Job summary

A data company in London is seeking a Mid-Senior Data Engineer to build scalable data infrastructure and tackle significant challenges. This hybrid role requires 3+ years of experience, strong SQL skills, and the ability to orchestrate complex data workflows. Join a supportive environment with opportunities for growth.

Qualifications

  • 3+ years of data engineering experience.
  • Deep understanding of modern data architecture.
  • Experience orchestrating complex data workflows.

Responsibilities

  • Build reliable, scalable data infrastructure.
  • Solve meaningful data challenges.
  • Work in a hybrid environment with 2 days in office.

Skills

Data engineering
SQL skills
Data workflow orchestration
Database performance tuning

Job description

Overview

We're looking for a Data Engineer to join our expanding team in a hybrid role based in London. This is an excellent opportunity for someone who thrives on building reliable, scalable data infrastructure to solve meaningful challenges.


Hybrid: 2 days in office per week


What We’re Looking For


  • 3+ years of data engineering experience.

  • Deep understanding of modern data architecture, including robust SQL skills and database performance tuning.

  • Experience orchestrating complex data workflows to manage scheduling, dependencies, and data quality in ELT/ETL pipelines.

  • Familiarity with modern data warehouses and experience with orchestration tools.


Company Overview

You’ll become part of a wider data and analytics team that’s working on some genuinely exciting challenges using the latest in cloud technologies and big data platforms. A supportive, fast-paced environment with real opportunities to grow.


Candidates must be UK-based


How to apply

If you\'re a hands-on data engineer looking for your next step, we’d love to hear from you.


Job Details


  • Seniority level: Mid-Senior level

  • Employment type: Full-time

  • Job function: Other

  • Industry: Data Infrastructure and Analytics

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