Senior Data Engineer: Build Scalable Data Pipelines

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

Benefits offered by this job

Company bonus scheme

Company pension scheme

Hybrid working

Learning & development budget

Private medical insurance

Cycle to Work

Job summary

Moneybox is seeking a Senior Data Engineer to join our Data Engineering team and take ownership of our data platform, architecture and engineering standards. This is a hands-on role with broad influence across Engineering and Insight, requiring autonomy and pragmatic decision-making from problem definition through to production.

You'll lead data pipeline design, integrate new data sources and collaborate with Backend, Analytics and Security teams to ensure trusted data, governance and scalable

Qualifications

• 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 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 communicate technical concepts clearly and work effectively with a broad range of 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 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.

Skills

Data pipelines

ETL/ELT

Python

Spark

SQL

Cloud platforms

Data modelling

Architecture decisions

Communication

Tools

Azure Databricks

SQL Server

Cosmos DB

Blob Storage

Terraform

Azure DevOps

GitHub Actions

Job description

Moneybox is seeking a Senior Data Engineer to join our Data Engineering team and take ownership of our data platform, architecture and engineering standards. This is a hands-on role with broad influence across Engineering and Insight, requiring autonomy and pragmatic decision-making from problem definition through to production.

You'll lead data pipeline design, integrate new data sources and collaborate with Backend, Analytics and Security teams to ensure trusted data, governance and scalable