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Data Engineer

Viktor· Product & Engineering
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Warsaw, MunichFull-timePosted 2mo ago

About the role

Data Engineer at Viktor responsible for owning and evolving the data warehouse, pipelines, dashboards, and alerts to support business decisions and LTGP-driven workflows. Early analytics function with no data lead above, collaborating with co-founders and leaders to deliver trusted, actionable data.

Responsibilities

  • Own the ClickHouse warehouse end-to-end. Schema, ingestion, backfills, performance. You decide how it's structured and what gets in.
  • Build and maintain the pipelines. Prod Postgres, Stripe, Slack, ad platforms, whatever's next. You build and operate them, with tests, monitoring and safe backfills. You own the recovery when they fail and verify the data, not just that the job ran.
  • Own conversion tracking and attribution data. The events and values we send to Meta and Google, the attribution data that comes back, and the feed that carries LTGP to the platforms.
  • Run the BI layer. Hex dashboards for growth, finance, support, product. You build, maintain, and prune them; dead dashboards are worse than none.
  • Answer the questions that move the business. Retention cohorts, credit and unit economics, channel attribution, churn, pricing impact. You bring answers proactively.
  • Stand up monitoring and alerting. We hear about a metric moving the wrong way from your alerts, not from a customer.
  • Work with the co-founders and leaders across the company. You scope, prioritize, ship fast, and push back when the question isn't the right one.

Qualifications

  • Strong Python engineering for ingestion, transformations and orchestration. You build, test and maintain reliable pipelines, not just notebooks.
  • Metrics understanding. You understand what business metrics mean and how they are calculated.
  • Agentic engineering is part of your daily workflow. You use coding agents to move faster while taking responsibility for correctness, maintainability and production behavior.
  • Familiar with columnar warehouses (ClickHouse, Snowflake, BigQuery, Redshift). Bonus for ClickHouse.
  • Built BI layers from scratch (Hex, Metabase, Looker). You know a dashboard that gets used.
  • Product mindset and founder mentality. Proactive, owner of the function.
  • Munich or Warsaw location.

Skills

Required:PythonData warehousingMetrics and attributionDashboardingStakeholder communication
Last updated Oct 20, 2026. Interested? Apply on the company site.
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About Viktor

Viktor | Not a tool. A hire.

Viktor is the AI employee that lives in Slack and Microsoft Teams, connects to 3,200+ tools, and does the work.

3,200+ integrationsSlack and TeamsReports, dashboards, appsCode and PR reviewsSOC 2 compliantAuditsSecurityAutomation
Company profileWebsite

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