Senior Data Engineer

Super Payments
London, UK
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£92,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon S3 Data Analysis Continuous Integration Data Governance Data Security Software Debugging Github Python (Programming Language) Key Management Standard Sql SQL Databases
+8 more
Datadog Data Processing Snowflake Event Driven Architecture Pytest Integration Frameworks Terraform Data Pipelines

Job description

We run an event-driven data platform on AWS and Snowflake. Events flow from our product services through EventBridge, Kinesis Firehose, S3, and are auto-ingested into Snowflake via Snowpipe; batch and third-party data lands through Snowpark-deployed Python procedures. All infrastructure is defined in Terraform/Terragrunt. Python (Poetry, Pydantic, pytest) is our pipeline language; GitHub Actions runs CI/CD. Datadog gives us end-to-end pipeline observability., Ingestion & Pipeline Engineering

  • Event Pipeline Ownership: Build and evolve the EventBridge * Firehose * S3 * Snowpipe ingestion path, including partitioning and throughput tuning as event volumes grow across streams like fraud, payments and merchant.
  • Batch & Third-Party Integrations: Design and deploy Snowpark-based Python procedures for file-based and third-party data loads, scheduled and monitored as Snowflake Tasks.
  • Schema Evolution: Work with product engineers to manage upstream schema changes and late-arriving data without breaking downstream consumers.

Infrastructure & Reliability

  • Infrastructure as Code: Own and extend Terraform/Terragrunt modules for ingestion infrastructure across multiple environments.
  • Pipeline Observability: Design Datadog monitors and alerting for Firehose, EventBridge, DLQs and Snowpipe; triage and resolve ingestion failures.
  • Security & Compliance: Manage PII handling (hashing, secure deletion), masking, data governance and access in Snowflake. Support audit-ready, reconciled data for Finance and Compliance.

Data Pipelines & Data Quality

  • Dbt: Build privacy-first data pipelines using dbt and Snowflake Dynamic Tables to safely expose sensitive data for downstream analytics and reporting.
  • Data Quality: Build testing and monitoring for ingestion and transformation logic to catch issues before they reach the business or the Analytics Engineering team.
  • Stakeholder Collaboration: Partner with the wider Engineering team and Analytics Engineering team as a downstream consumer, to ensure pipelines deliver accurate, audit-ready data.

Requirements

We’d love it if you have

  • AWS & Event-Driven Architecture: Hands-on experience with streaming/event ingestion (Kinesis, EventBridge or equivalents), S3 partitioning, and queue/DLQ patterns.
  • Infrastructure as Code: Terraform experience required; Terragrunt a plus. Comfortable owning modules across environments, not just consuming them.
  • Snowflake & Warehouse Engineering: Strong SQL for Snowflake, including Snowpipe, Tasks and Snowpark.
  • Dbt: Proven experience in building well tested SQL and python models in dbt.
  • CI/CD & Data Security: Experience with GitHub Actions (or equivalent), and secrets/key management, PII and sensitive data handling in Snowflake.
  • Python Coding: Python skills for pipeline and infrastructure code (typed models, testing, CI-deployed services), not just scripting or analysis.

Engineering Ownership

Technical Communication: A pragmatic, systems-level mindset with the ability to explain pipeline failures, infrastructure trade-offs, or data-flow issues clearly to both engineers and non-technical stakeholders.

  • Ownership & Initiative: A strong willingness to work independently, take initiative, and take full ownership of the pipelines and infrastructure you build, from design and implementation through to production reliability.
  • Production Mindset: Proactively monitoring, debugging, and improving pipelines and infrastructure in production, not just building them and moving on.

*The stated experience and background is a guide and does not preclude applications from candidates with more or less experience, provided the requisite skills can be demonstrated.

Benefits & conditions

Our Benefits - here’s a few and more to come ….

  • Tax advantage Share Options
  • Flexible working model
  • Work from home set up
  • Learning & Development opportunities
  • Contributory Pension Scheme
  • Free Team lunch (Tues & Thurs) and social evenings
  • Comprehensive PMI & x4 Life Insurance
  • Your birthday off, plus one Revival day

About the company

Super Payments is the only global fintech platform providing 0% processing fees for merchants. Our mission is to use data and AI to make payments free for businesses, so that everyone wins.

At Super, we are disrupting payments, like Spotify did to music and Robinhood did to trading. We don’t make money from transaction fees; instead, we monetise through value-added services such as lender commissions and FX. Our platform supports multiple payment methods - from traditional cards to direct bank transfers via open banking, as well as Apple Pay, Google Pay, and our own Buy Now Pay Later solution.

Super has raised $66M from leading investors including Accel, Union Square Ventures and Local Globe (the same investors behind Spotify, Stripe, Monzo) and founded by Samir Desai CBE, co-founder of Funding Circle.

Already trusted by thousands of businesses and more than 4 million customers, Super is processing at a run rate of £1.5B and growing 4x YOY

Our Values

  • Customer obsessed: We only succeed when our customers do.
  • Move fast: Build, test and improve quickly. Progress matters more than perfection.
  • Own it: Be accountable, solve problems, and make it happen.
  • Be open: Act with honesty and respect. Transparency builds trust.
  • Win together: Collaboration beats ego every time.

Apply for this position

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Apply on www.adzuna.co.uk
Prepare application

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