Senior Data Engineer

Clera

Munich, Germany

On-siteCareer-pivot friendly

Who this role is best for

Geared toward candidates comfortable with building and maintaining production data pipelines in Python and managing columnar warehouses, with a preference for individuals who have experience in SaaS metrics and can thrive in a small, fast-moving team in Munich or Warsaw.

Best fit for

Candidates with 2+ years of Python pipeline experience and a track record in BI dashboard creation
— “At least 2 years of relevant experience building and maintaining production data pipelines in Python”
Candidates who have taken ownership of data correctness and production behavior in their workflows
— “Daily use of coding agents in your engineering workflow, with ownership of correctness and production behavior”

Things to consider

Candidates must be based in Munich or Warsaw, or be willing to relocate
— “Candidates must be based in one of these locations or willing to relocate”

How to stand out

Emphasize pipeline ownership and schema management in your resume and interview responses
— “Own the ClickHouse warehouse schema, ingestion, backfills, and performance, and decide how data is structured”
Highlight experience with SaaS metrics and conversion tracking tools in your application materials
— “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”
Demonstrate your ability to work independently and take ownership in small teams
— “A proactive, product-minded approach and experience taking ownership in a small, fast-moving team”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

built and maintained production data pipelines
set up alerts for metric movements

Typical background

data engineeringdata warehousing

Skills & requirements

Required

Data PipelinesClickhousePythonBI DashboardsConversion TrackingData Analysis

Preferred

SnowflakeRedshiftHexMetabaseLooker

Stack & domain

PythonClickhousePostgreSQLStripeSlackHexMetabaseLookerAdvertisingData Engineering

About the role

Original posting from Clera via Ashby

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.

Source: Clera careers (Ashby)