# Data Engineer at Clera

Data Engineer at Clera in Munich. On-site, full-time. Posted October 26, 2026.

- Company: Clera
- Location: Munich
- Workplace: On-site
- Job type: Full-time
- Experience: 2+ years
- Posted: 2026-10-26
- Apply: https://jobs.ashbyhq.com/clera/aa390b7d-f7ed-42ac-bf67-7867dd3cf34e/application
- Source: https://jobmagic.ai/jobs/data-engineer-clera-8fcqtp

## Requirements

- Typically 2 to 10+ years of relevant experience, including ownership of production Python data pipelines.
- Experience with a columnar warehouse such as ClickHouse, Snowflake, BigQuery, or Redshift.
- Experience building BI dashboards with Hex, Metabase, or Looker.
- Strong understanding of business metrics, including retention cohorts and unit economics.
- Familiarity with Stripe and SaaS metrics such as MRR, ARR, NDR, and LTV; experience supporting financial close is useful.
- Hands-on experience with conversion tracking and attribution, such as Meta Conversions API, Google Ads conversion imports, or server-side event pipelines.
- Use coding agents daily while maintaining ownership of code quality and production behavior.
- A proactive, product-minded approach and experience taking ownership in a small, fast-moving team.

## Description

### About the Role

Own the data foundation for an early-stage AI/ML company, including its warehouse, pipelines, BI layer, and conversion tracking. This role sits within an early analytics function and works closely with company leadership to deliver data that informs business decisions.

### What You'll Do

- Own the ClickHouse warehouse schema, ingestion, backfills, and performance.

- Build and operate tested, monitored Python pipelines from databases, billing systems, collaboration tools, and advertising platforms, including recovery and data verification.

- Manage conversion tracking and attribution data, including server-side events and the transfer of lifetime gross profit data to advertising platforms.

- Build and maintain BI dashboards for growth, finance, support, and product teams.

- Analyze retention cohorts, unit economics, channel attribution, churn, and pricing impact, and proactively share findings.

- Set up monitoring and alerts for important data and business metric changes.

- Work with leadership to scope and prioritize analytics work, and challenge assumptions when needed.

### What We're Looking For

- Typically 2 to 10+ years of relevant experience, including ownership of production Python data pipelines.

- Experience with a columnar warehouse such as ClickHouse, Snowflake, BigQuery, or Redshift.

- Experience building BI dashboards with Hex, Metabase, or Looker.

- Strong understanding of business metrics, including retention cohorts and unit economics.

- Familiarity with Stripe and SaaS metrics such as MRR, ARR, NDR, and LTV; experience supporting financial close is useful.

- Hands-on experience with conversion tracking and attribution, such as Meta Conversions API, Google Ads conversion imports, or server-side event pipelines.

- Use coding agents daily while maintaining ownership of code quality and production behavior.

- A proactive, product-minded approach and experience taking ownership in a small, fast-moving team.

### Location

On-site in Munich, Germany. Candidates based in Warsaw, Poland may be considered if willing to relocate to Munich or Warsaw and work on-site.