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iwoca

Open 15d reposted 2× · 2 open copies

Backend Engineer - Acquisition Technology

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Summary

Backend engineer at iwoca, an SME-lending fintech, owning the German side of its acquisition technology — building data pipelines, databases, REST APIs and third-party integrations (ad platforms, HubSpot) that convert German small-business leads into customers. Core stack: Python, SQL and SQLAlchemy, working with PMs and data scientists.

Overview

In this role you will own the German side of iwoca's Acquisition Tech, building and evolving the backend that reaches German small businesses and converts them into customers. You will work closely with a product manager and data scientist, shaping architectural direction and integrating with ad channels and third-party APIs. The role combines engineering ownership with business-facing thinking to deliver scalable, data-driven acquisition capabilities. You’ll have a meaningful impact on the mission to support one million SMEs by enabling faster, more effective customer acquisition.

Pay / Benefits
  • Flexible working hours
  • Medical insurance from Vitality
  • 25 days’ holiday + birthday day
  • Company equity / employee equity incentive
  • Pension contributions
  • Learning and development budget
Responsibilities
  • Own the German acquisition stack, from lead-value signals to ad platform bidding and attribution
  • Shape the long-term technical roadmap and architecture for scaling the German acquisition capabilities
  • Collaborate with marketing and data science to optimize funnels across paid search, direct mail, and outbound sales
  • Integrate third-party APIs to reduce friction in sign-up and improve lead data
  • Build data pipelines, databases, and REST APIs behind the acquisition stack, including HubSpot tooling
  • Develop features for data scientists, productionize models, and implement versioning and monitoring
  • Contribute to end-to-end delivery from problem framing to deployment
Key requirements
  • Backend engineering experience in Python in production
  • SQL proficiency beyond CRUD; experience shaping schemas and tuning queries
  • End-to-end delivery mindset from problem to release
  • Commercial or product thinking with ability to align with marketing/sales goals
  • Experience leveraging AI to scale engineering output and decide when to apply it
  • Clear written and spoken communication, with ability to tailor detail to the audience
  • Communication
  • Collaborative and cross-functional working
  • Analytical thinking
  • Python
  • SQL
  • SQLAlchemy

Skills

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See also

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