Senior Data Engineer

About this role

About Moneybox At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief We’re looking for a Senior Data Engineer to join our Data Engineering team and play a key role in shaping how data moves through Moneybox. Working closely with our Data Engineering lead, you’ll act as a senior technical partner and take significant ownership of our data platform, architecture and engineering standards. This is a hands-on role, but one with broad influence across Engineering and Insight. You’ll need to be comfortable operating with a high degree of autonomy, making pragmatic technical decisions and taking ownership from problem definition through to production.

What You'll Do Act as a senior technical partner within Data Engineering, providing continuity and ownership across the platform Help set the technical direction and priorities for Data Engineering Own, maintain and improve our core data processing and analytical platforms, with a strong focus on reliability, scalability and resilience Design, build and maintain robust data pipelines and integrations across Moneybox systems Lead the design of significant data architecture and integration changes Build integrations to ingest new data sources and make them available across our analytical platforms Partner with Backend Engineering and Insight teams to maintain reliable, accurate and meaningful data models as our products evolve Establish and promote good engineering practices across data pipelines, modelling, observability, performance and reliability Ensure data quality and integrity throughout our pipelines, identifying and addressing issues before they impact downstream users Provide technical guidance to engineers and analysts working with the data platform Work with Engineering, Information Security and Compliance to ensure analytical data is secure, appropriately restricted and handled in line with our policies Monitor and improve the performance, efficiency and cost of our data processing platforms Take ownership of complex technical problems and drive them through to resolution Keep up to date with developments in data engineering and identify where new technologies or approaches could deliver meaningful value Contribute to the wider engineering community at Moneybox, sharing expertise and helping raise standards across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps, GitHub Actions and Terraform You don’t need to have worked with every technology we use, but we expect you to have strong experience with comparable technologies and the ability to learn quickly.