Senior Data Engineer

Ryftpay

Deutschland

Hybrid

EUR 107,000 - 142,000

Full time

11 days ago

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Job summary

Ryftpay is seeking a Senior Data Engineer to own data after the write path, building CDC and event-driven ingestion into our data warehouse. You will work with AWS, RDS Postgres, Dagster, dbt, and Superset, delivering a migrated warehouse and scalable data platform.

In this senior IC role, you will lead the end-to-end data ingestion strategy, ensure data contracts, and collaborate with analytics to provide reliable, scalable data services across the organization.

Qualifications

  • Proven experience building production data platforms.
  • Strong Python and SQL for data processing and modeling.
  • Hands-on with change data capture and event-driven ingestion.

Responsibilities

  • Build the ingestion layer to capture change streams into S3 and emit domain events.
  • Own the bronze layer with evolving schema and reliable delivery.
  • Enforce contracts at the boundary between write and read paths; manage schema changes gracefully.
  • Deliver and oversee the warehouse migration end-to-end, evaluating and cutting over to the new platform.
  • Run and monitor deployments, production behavior, observability, and cost; design for regional data residency.

Skills

Python
SQL
Data streaming concepts
CI/CD

Tools

Dagster
Airflow
Kinesis
Firehose
EventBridge
SNS
SQS
Lambda
S3
Snowflake
Redshift
BigQuery

Job description

About Ryft

Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms.

We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity.

We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform.

About the Job

We're hiring a Senior Data Engineer to own everything that happens to our data after it is written. The boundary with Software Engineering is drawn in one line: they own everything up to the write, you own everything after it — capture, ingestion, the bronze layer, and the data services that run on top. You'll build the change data capture and event-driven ingestion platform that gets data out of our source systems reliably, and hand a clean, contracted bronze layer to the analytics team.

This is a senior individual contributor role, hands-on every day, working alongside the Data Lead and the Analytics Lead. Year one is build-heavy: CDC and event ingestion into S3 and delivering our warehouse migration end to end. Our current stack is AWS, RDS Postgres, Dagster, dbt, and Superset.

This is a hybrid role based in central Manchester, with 2 days per week in the office.

What you'll do
  • Build the ingestion layer: Capture change streams off our transactional stores into S3, alongside the domain events our services emit, so the warehouse reflects both current state and what happened to get there.

  • Own the bronze layer: Land data reliably at a known latency, with schema evolution handled deliberately rather than survived. Replay and backfill should be routine operations.

  • Hold the contract at the boundary: Agree with Software Engineering what crosses the write, in what shape, with what notice when it changes — then enforce it on your side, so a schema change is a handled event rather than an outage.

  • Deliver the warehouse migration: Moving off Postgres is a priority for the next twelve months. You'll own it end to end, from evaluation through to cutover, and your view on the target platform carries real weight.

  • Run what you build: Deployments, behaviour in production, observability, runtime cost, and reliability. We're expanding into the EU, so regional data residency is a design constraint from the start rather than a retrofit.

What we're looking for
  • Several years building and running production data platforms, comfortable being the most senior engineer on the platform day to day

  • Real AWS depth in production, across S3, IAM, networking, and the ingestion and messaging services (Kinesis / Firehose, EventBridge, SNS, SQS, Lambda or equivalent)

  • Hands-on change data capture and event-driven ingestion — you understand delivery guarantees, idempotency, ordering, duplicates, and replay, and what each costs to get right

  • Strong production Python and SQL, a cloud warehouse (Snowflake, Redshift, BigQuery or similar), and an orchestrator (Dagster, Airflow or equivalent)

  • You've run what you built, been called when it broke, and changed something structural afterwards — Git, pull requests, CI/CD and testing are defaults, not aspirations

  • Comfortable working inside an infrastructure estate you don't own, and able to negotiate what you need from teams whose backlogs you don't control

  • Pragmatic — you ship working things and know when a simple solution now beats an elegant one later

Nice to have
  • Payments or fintech experience, particularly transaction, ledger, or reconciliation data

  • Change data capture out of DynamoDB or a similar store

  • A warehouse or platform migration behind you

  • dbt familiarity, so you know how your outputs get consumed

  • Multi-account AWS, data residency work, data contracts or schema registries

What you'll get
  • Near-greenfield platform ownership at an FCA-regulated payments business, with the ownership boundaries drawn and agreed — you'll spend your time building, not arguing about whose job something is

  • Direct exposure to senior leadership, with real influence over the target architecture

  • A seat at a fast-growing, well-funded fintech scaling in a genuinely underserved part of the payments market

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