Staff Software Engineer, Data - Fintech Platform (m/f/n)

The mission
Design and own the feature-store architecture that credit decisioning will depend on.
Schema, point-in-time correctness and freshness SLAs, designed to be reliable and cheap to run.
Reference implementations. You set the pipeline patterns, modelling standards and lineage approach that others copy.
The hardest problems first. You lead the highest-complexity, highest-risk data initiatives, including cross-domain feature reuse across regulated entities.
Agent-first delivery. You design the agent loop (context, tools, evals, guardrails) so agentic engineering is reliable, observable and cost-controlled.
Data that earns. Your architecture directly shapes the quality and speed of money-making decisions.
You are:
Someone who loves data and loves building systems around it.
Hands-on first. You design and you build, with AI as a daily tool.
Experienced with 8+ years in data engineering at scale, and 5+ years in Spark/Databricks or equivalent lakehouse architecture.
Expert in SQL, data modelling and Python (7+ years), plus performance and cost engineering.
Experienced with agentic coding tools and loop engineering (3+ years): context and tool design, evals, guardrails.
Strong in data-quality, observability, lineage and GDPR-aware governance.
A technical leader without authority, who sets standards and mentors through influence.
Fluent in English (B2+).
Bonus points for:
Feature-store or ML data serving in production
Payments, fintech or lending data experience
Streaming (Kafka/Structured Streaming) and CDC
DBT governance experience.
CCD2/DORA awareness

Employment type
Full-time

Work arrangement
Hybrid