Senior Data Engineer at Moneybox in London Office

Job description

• 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.
• 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

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 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

Requirements

• Skills & Experience
• 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
• 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

Skills

Required

• Python
• Spark
• SQL
• ETL/ELT
• Data modelling
• Cloud-based data platforms
• Reliability engineering
• Observability
• Performance optimization
• Data quality
• Technical communication
• Stakeholder management

Preferred

• NoSQL (Cosmos DB, DynamoDB, MongoDB)
• Infrastructure-as-code (Terraform)
• REST APIs
• Authentication and API security
• Sensitive/regulated data handling

Benefits

• 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