Staff Data Engineer — Lead Big-Scale Data Platform (Remote)

MoonPay

Greater London

Hybrid

GBP 192,000 - 202,000

Full time

14 days+
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Benefits offered by this job

Equity package
Pension
Private healthcare
Remote working allowance
Lunch credit
Home office setup
Flexible Time Off
Birthday leave
Cycle to Work (UK)
EV Salary Sacrifice (UK)

Job summary

MoonPay is seeking a Staff Data Engineer to lead the design and evolution of our data platform. You’ll shape analytics, product insights, integrations, and ML capabilities across a regulated environment, balancing architecture, reliability, scalability, governance, and cost.

You will move between high‑level direction and hands‑on delivery, mentoring engineers, establishing shared patterns, and guiding teams through pragmatic improvements.

Qualifications

  • You’re a systems thinker who has helped design and scale data platforms used by multiple teams.
  • You’re comfortable operating across architecture, hands-on delivery, and organisation-wide technical influence.
  • We’re looking for someone who brings: significant experience designing and evolving large-scale data platforms, distributed and stream processing systems.

Responsibilities

  • Set and evolve the technical direction of our data platform across streaming, batch processing, warehousing, orchestration, governance, and machine learning 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
Real-time architectures
Kafka
Pub/Sub
Distributed systems
Architectural leadership
Mentoring engineers
Regulatory/compliance
Python
SQL

Tools

GCP
Pub/Sub
Kafka
Apache Beam
Bigtable
Redis
Kubernetes
Airflow
BigQuery
Terraform
Python
SQL

Job description

MoonPay is seeking a Staff Data Engineer to lead the design and evolution of our data platform. You’ll shape analytics, product insights, integrations, and ML capabilities across a regulated environment, balancing architecture, reliability, scalability, governance, and cost.

You will move between high‑level direction and hands‑on delivery, mentoring engineers, establishing shared patterns, and guiding teams through pragmatic improvements.

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