Senior Backend Engineer | SpringWater team | Based in Europe

Do you love building things that actually ship – not sitting in meetings about shipping? This job might be for you About the company SpringWater is a sister company of Hostinger, and we are looking for a team member to join a role at an acquired company in the affiliate marketing software space. This company is a small but mighty international team with an even mightier goal: turn a strong SaaS product into a growth machine. To achieve that we are looking for a self-driven, reliable and hard-working software engineer who understands that great product experience is itself a growth driver.

Your role

Your skills and experience

• 5+ years of backend engineering experience, with strong proficiency in Ruby on Rails, or solid Python/TypeScript skills with a genuine willingness to learn our stack.
• Strong SQL skills, including writing complex queries, optimizing slow queries, and working with both PostgreSQL and BigQuery in production environments.
• Experience building and maintaining REST APIs and background job systems (e.g., Sidekiq, Celery, or similar), with an understanding of reliability, retries, and failure handling.
• Experience building internal tooling and dashboards – revenue reports, payout summaries, cohort analyses, or similar business-facing data products, ideally tied to financial or affiliate data.
• Async-first, high-ownership work style – comfortable communicating through written updates, making independent decisions, and taking full responsibility for features from build through monitoring.
• Practical experience using AI-assisted development tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as a regular part of the development workflow to increase output quality and speed.
• Data or analytics engineering background – prior work with data pipelines, event tracking, affiliate/conversion data, or analytics engineering is a meaningful differentiator for this role.
• Familiarity with dbt (data build tool) for building and maintaining data transformation models, or a strong desire to learn it quickly in the context of analytics and reporting.