Senior Data Engineer

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 tools such as Terraform
• Understanding of REST APIs, authentication and API security
• Experience working with sensitive or regulated data
• Experience improving the cost and performance of large-scale data workloads

Whats in it for you?

The opportunity to join a fast-growing, award-winning and ambitious company
The chance to have a meaningful impact on the technology and data capabilities behind Moneybox
A friendly and highly motivated team
A collaborative and inclusive culture where your ideas will be heard
Company bonus scheme
Company pension scheme
Hybrid working
Home office furniture allowance
Personal annual learning and development budget
Private medical insurance
Health Cash Plan, including cashback on services such as dental and optical care
Cycle to Work scheme
Wellbeing and fitness benefits
Enhanced parental pay and leave
25 days' holiday plus bank holidays, with additional days based on length of service

Employment type

Full Time