Data Engineer

We’re excited to be partnering with a fast-growing fintech building a next-generation co-brand card platform for leading travel and hospitality brands like Marriott International and Hilton.

Location: London Victoria (4 days in office, 1 from home)

2:1+ STEM degree (Russell Group)

I’m hiring a Mid-Level Data Engineer (3+ years’ experience) to help scale and optimise a robust data platform built on Python, Airflow, dbt and Redshift.

What you’ll be doing:

• Scaling and optimising ELT pipelines (Python + Airflow)
• Enhancing the data warehouse (performance, cost, complexity)
• Expanding Reverse ETL and data activation capabilities
• Deepening dbt modelling and data quality frameworks
• Driving automation, governance and reliability across AWS
• Collaborating closely with Product, Design, Marketing & Finance

What we’re looking for:

• 3+ years in Data Engineering (FinTech/startup/scale-up ideal)
• Production-grade workflow orchestration (Airflow/Dagster/Prefect)
• Deep understanding of data warehousing + ELT principles

This is a pivotal role at a high-growth fintech entering its next scaling phase perfect for someone who thrives on optimisation, ownership and impact.

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