Staff Data Platform Engineer - Remote/Hybrid & Equity

MoonPay Inc.; Greater London; Hybrid; GBP 210,000 - 230,000; Full time

Benefits offered by this job

Competitive salary package

Equity package

Pay-for-performance equity bonus

Moonshot equity grant

Pension: employer contributions

Employee referral program

Hybrid/Remote working schedule

Commuter benefits

Private healthcare benefits

Wellhub wellness membership

AI tools access: Claude, ChatGPT, etc.

Lunch credit

Home office setup allowance

Remote working allowance

Annual training budget

Job summary

MoonPay is seeking a Staff Data Engineer to lead the design and evolution of the data platform powering analytics, product insights, integrations, and ML across MoonPay. You’ll shape architecture and contribute hands-on engineering across teams.

You will set technical direction, mentor senior engineers, and deliver scalable real-time and batch data capabilities while ensuring reliability, governance, and cost efficiency in a regulated environment.

Qualifications

• Significant experience designing and evolving large-scale data platforms, distributed and stream processing systems.
• Deep knowledge of real-time and event-driven architectures using Kafka or Pub/Sub.
• Track record of leading complex technical initiatives spanning multiple teams or domains.
• Experience building platform capabilities, shared services, and engineering patterns used by other teams.
• Strong judgment across reliability, scalability, governance, security, and cost management.
• Ability to switch between high-level architectural decisions and hands-on implementation.

Responsibilities

• Set and evolve the technical direction of our data platform across streaming, batch processing, warehousing, orchestration, governance, and ML enablement.
• Lead the design and delivery of complex, cross-team initiatives from early architectural decisions through to implementation.
• Design and build core platform capabilities, from reliable real-time pipelines, shared tooling, reusable frameworks, and scalable data infrastructure for other teams.
• Establish and champion golden paths that enable teams to build securely, consistently, and efficiently.
• Improve platform reliability, scalability, performance, and cost efficiency as data volumes and use cases grow.
• Partner with Security, Compliance, Product, and Engineering teams to ensure our systems meet operational and regulatory requirements.
• Identify systemic risks, reduce unnecessary complexity, and guide pragmatic, incremental improvements to the platform.
• Strengthen engineering standards across data modelling, pipeline design, observability, testing, deployment automation, and infrastructure as code.
• Influence technical priorities and planning by working closely with engineering managers, product managers, and senior technical leaders.
• Mentor senior engineers and raise technical capability through design reviews, code reviews, documentation, and hands-on collaboration.

Skills

Data platform design

Distributed systems

Real-time streaming

Architecture leadership

Mentoring

Tools

GCP

Pub/Sub

Kafka

Apache Beam

BigQuery

Bigtable

Redis

Kubernetes

Airflow

Terraform

Python

SQL

Job description

MoonPay is seeking a Staff Data Engineer to lead the design and evolution of the data platform powering analytics, product insights, integrations, and ML across MoonPay. You’ll shape architecture and contribute hands-on engineering across teams.

You will set technical direction, mentor senior engineers, and deliver scalable real-time and batch data capabilities while ensuring reliability, governance, and cost efficiency in a regulated environment.