hirly
Sign inGet started free

Clera

Senior Data Engineer

Munich

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Clera first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
DE
Work mode
On-site / unstated
First seen by hirly
19 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About the Role

Join an early analytics team at an AI advertising technology company and own its data foundation, from the warehouse and production pipelines to BI and conversion tracking. Your work will shape business decisions and help power ad platform bidding.

What You'll Do

Own the ClickHouse warehouse schema, ingestion, backfills, and performance, and decide how data is structured.

Build and operate production pipelines in Python from systems such as Postgres, Stripe, Slack, and advertising platforms, with testing, monitoring, recovery, and data verification.

Manage conversion tracking and attribution data, including server-side events and the feeds sent to advertising platforms.

Build and maintain dashboards for growth, finance, support, and product, and retire dashboards that are no longer useful.

Analyze retention cohorts, unit economics, channel attribution, churn, and pricing impact, and proactively surface meaningful changes.

Set up alerts for metric movements and work directly with company leaders to scope and prioritize data work.

What We're Looking For

At least 2 years of relevant experience building and maintaining production data pipelines in Python.

Hands-on experience with a columnar warehouse such as ClickHouse, Snowflake, BigQuery, or Redshift.

Experience building BI dashboards with Hex, Metabase, or Looker and defining business metrics such as retention cohorts and unit economics.

Familiarity with Stripe and SaaS metrics such as MRR, ARR, NDR, and LTV, plus conversion tracking through tools such as Meta Conversions API or Google Ads conversion imports.

Daily use of coding agents in your engineering workflow, with ownership of correctness and production behavior.

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

Compensation & Benefits

Visa sponsorship is not available.

Location

This is an on-site role in Munich, Germany, or Warsaw, Poland. Candidates must be based in one of these locations or willing to relocate.

Original posting on Clera's site ↗

Listed on hirly, a job board. hirly is not the employer: Clera is hiring for this role.

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job