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# Data Engineer

- **Company:** Oscar
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cloud Computing, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Standard Sql, Workflow Management Systems, Database Optimization
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815095980-data-engineer

## About the Role

* 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.

## 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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