Senior Data Engineer

The role

This is a Senior Data Engineer position on the Data Engineering team. Youll work closely with the Data Engineering Lead to design and scale the data platform powering our payments infrastructure and ecosystem analytics.

This role sits at the intersection of data engineering and backend systems. Youll build and operate event-driven data pipelines maintain real-time processing systems and ensure data quality across high-volume transactional workflows. Youll also build backend services that expose data to internal platforms and APIs so teams across the company can consume it.

Day-to-day youll work with Python SQL ClickHouse Airflow and dbt within an event-driven architecture. Youll own the systems you build end-to-end including monitoring reliability and data correctness and collaborate with product engineering and infrastructure teams to support new data use cases as the platform grows.

Key responsibilities

Data platform & pipeline engineering

• Design build and operate scalable data pipelines for payments and platform data event-driven near real-time processing across high-volume transaction flows
• Maintain and evolve the real-time data platform moving it from MVP pipeline to scalable production architecture
• Model and process transactional and ledger-style data financial reconciliation merchant reporting wallet fee breakdowns and settlement tracking
• Contribute to improving the overall data platform architecture as requirements grow

Data quality & observability

• Ensure data accuracy freshness and observability across critical workflows payments flow correctness wallet connection success rates and transaction health
• Build monitoring and alerting that meets the reliability bar required for financial data systems
• Own data quality across the pipeline from ingestion through transformation to downstream consumption

Backend services & data access

• Develop backend services that expose data to internal platforms APIs and downstream systems so teams across the company can consume it
• Support downstream use cases including financial reconciliation merchant reporting operational monitoring and product analytics
• Collaborate with product engineering and infrastructure teams to onboard new data use cases and ensure clean integration points

Ownership & operations

• Own and operate the systems you build including deployment monitoring and reliability
• Collaborate closely with the Data Engineering Lead on architecture decisions and platform evolution
• Contribute to engineering standards documentation and operational playbooks for the data platform

Tech stack

Our current stack includes Python SQL ClickHouse Airflow dbt Grafana and Preset / Deepnote for data visualization. The architecture is event-driven with near real-time processing. Rust is a plus but not required. Were also experimenting with AI-assisted monitoring and data tooling as part of our platform evolution.

What you bring

Must-haves

• 5 years of experience in data engineering or data infrastructure youve built shipped and operated production data systems
• Strong experience building data pipelines and production data platforms ingestion transformation modelling and serving
• Comfortable using AI-assisted development tools/agents with strong discipline in reviewing validating and productionizing generated code
• Expertise in SQL and large-scale data processing
• Experience with modern data stack tools: Airflow dbt ClickHouse BigQuery Snowflake Athena or similar
• Experience working with event-driven architectures and real-time or near real-time data processing
• Strong programming skills in Python or similar backend languages
• Experience designing systems with data quality monitoring and reliability in mind you treat data correctness as a first-class concern
• Ability to operate independently and own production systems end-to-end in a remote async team

Nice-to-haves

• Experience in fintech payments or financial infrastructure reconciliation settlement ledger reporting or merchant data
• Experience working with high-volume event data at scale
• Familiarity with ledger-style or transactional data models
• Exposure to Web3 blockchain or crypto ecosystems on-chain data wallet analytics or token transaction flows
• Rust experience or willingness to learn
• Experience building data platforms in fast-growing startups where youve shaped the architecture from early stages

Benefits

• Fully remote position with a budget for your home office or work environment
• Regular team offsites to incredible locations around the world
• Opportunities to travel to conferences and community events
• Generous PTO and parental leave
• Meaningful learning & development budget
• Competitive compensation package including salary equity and potentially tokens
• Healthcare coverage for US-based team members
• The chance to build at the forefront of onchain payments with one of the most recognised companies in Web3