Hybrid Data Engineer Scalable ETL Pipelines

Quantum; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

AI Subscription (Claude / ChatGPT /Gem

Market‑Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Regular Happy Hours & Team Lunches

Free Coffee, Drinks & Snacks

Job summary

Quantum in London is seeking a skilled Data Engineer to build and run pipelines behind QiCore, unifying rewards data into one trusted platform. You will ensure data is reliable, governed and ready for analytics, working with production SQL and Python in a cloud data warehouse.

Join a fast-paced, collaborative team; contribute to data governance, testing, and quality assurance while supporting future acquisitions and migrations.

Qualifications

• Several years of hands-on data engineering with production SQL and Python.
• Experience building ETL/ELT pipelines on cloud data platforms.
• Knowledge of data governance, quality, and testing.
• Familiar with orchestration tools and version control.
• Strong team collaboration and fast-paced environment adaptability.

Responsibilities

• Build, test, and maintain batch and streaming pipelines into QiCore to agreed engineering standards.
• Migrate Rewards data into warehouse and single customer view, keeping reporting running throughout.
• Model data for analytics and reporting, following architecture and governance principles.
• Monitor pipeline health and data quality, fixing root causes rather than patching symptoms.
• Support future acquisitions and platform migrations with repeatable processes.

Skills

SQL

Python

ETL/ELT

Data governance

Orchestration

Version control

Team player

English skills

Quality mindset

Cloud platforms

Tools

QiCore

Job description

Quantum in London is seeking a skilled Data Engineer to build and run pipelines behind QiCore, unifying rewards data into one trusted platform. You will ensure data is reliable, governed and ready for analytics, working with production SQL and Python in a cloud data warehouse.

Join a fast-paced, collaborative team; contribute to data governance, testing, and quality assurance while supporting future acquisitions and migrations.