Senior Data Engineer

Academic Key; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Moneybox is seeking a Senior Data Engineer to own and evolve our data platform, ensuring scalable pipelines and robust data quality. You will collaborate across Engineering and Insight teams to design, implement and maintain data architectures in a fast-moving environment.

You will apply advanced ETL/ELT patterns, work with Python, Spark and SQL on cloud platforms, and drive reliability, observability, and cost efficiency across data systems.

Qualifications

• Strong experience designing, building and operating scalable production data pipelines.
• Experience with ETL and ELT architectures.
• Strong programming and data transformation skills in Python, Spark and SQL.
• Experience with cloud-based data platforms.
• Designing reliable, observable systems with data quality.
• Ability to take ownership of significant engineering work and decisions.
• Excellent communication with stakeholders.

Responsibilities

• 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 core data processing and analytic platforms for reliability and scalability.
• Design, build and maintain robust data pipelines and integrations across Moneybox systems.
• Lead data architecture changes and ingest new data sources.
• Partner with Backend Engineering and Insight teams on data models.
• Promote engineering practices and ensure data quality.
• Monitor performance, efficiency and cost of data processing.
• Provide technical guidance to engineers and analysts.

Skills

ETL/ELT architectures

Python

Spark

SQL

Data modelling

Observability

Reliability

Data pipelines

Tools

Azure Databricks

SQL Server

Cosmos DB

Blob Storage

Azure Service Bus

Event Hubs

Azure DevOps

GitHub Actions

Terraform

Job description

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. Who You Are An experienced data engineer who enjoys solving complex technical problems and building reliable systems Comfortable taking significant ownership and operating with a high degree of autonomy Able to act as a trusted technical partner and help shape technical direction Pragmatic and able to balance strong engineering practices with the needs of a fast-moving business Curious and motivated by improving systems, processes and ways of working A strong communicator who can explain complex technical concepts clearly to both technical and non-technical audiences Someone who cares about the quality of their work and the impact it has on customers and colleagues Comfortable working across team boundaries and bringing clarity to ambiguous or complex problems Skills & Experience Essential Strong experience designing, building and operating scalable production data pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based data platforms Experience designing systems for reliability, observability, performance and data quality Strong understanding of data modelling and the principles behind well-structured analytical data Experience making technical design decisions and taking ownership of significant engineering work Ability to independently investigate problems and drive work through to completion Ability to communicate technical concepts clearly and work effectively with a broad range of stakeholders Desirable Experience with NoSQL technologies such as Cosmos DB, DynamoDB or MongoDB Experience with messaging or event-streaming technologies such as Azure Service Bus or Event Hubs Experience using infrastructure-as-code