Staff Data Engineer
JUPUS · Remote · Germany · United Kingdom · Spain · Portugal ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level individual contributor
- Fully remote (CET +/-2)
- ClickHouse + dbt + Python
- AI legal tech sector
- No line management duties
Join JUPUS as a Staff Data Engineer to take technical ownership of the data infrastructure supporting hundreds of law firms across Europe. You will modernize existing pipelines, ensure metric accuracy, and define the standards for how data work is performed within the organization.
Reporting to the Head of Engineering, you will work closely with infrastructure and application teams. The position involves roughly 70% hands-on building and 30% defining and documenting data strategies, with no line management responsibilities.
What you'll do
- Own the end-to-end data platform including ingestion, raw layer, ClickHouse warehouse, and dbt project.
- Ensure data reliability and correctness so historical trends reflect actual events rather than re-derivations.
- Define and defend business-critical metrics such as customer health scores, including eligibility rules.
- Collaborate with leadership and product teams to translate business questions into durable, defensible metrics.
- Manage warehouse architecture and query costs to maintain efficiency during rapid customer growth.
- Establish authoritative written definitions for all leadership-visible numbers and set data conventions.
What you'll need
- Substantial experience in data or analytics engineering with production ownership of a warehouse.
- Proven experience running ClickHouse in a production environment.
- Expert-level knowledge of dbt, including incremental models, snapshots, tests, macros, and CI/CD.
- Strong Python skills for EL tooling, S3 integration, and CI-based orchestration without platform support.
- Experience with product event streams like PostHog, Amplitude, Segment, or Mixpanel.
- Ability to define business KPIs end-to-end and explain them clearly to non-technical stakeholders.
- Located within CET +/-2 time zones.
Nice to have
- Experience administering Metabase or similar BI tools.
- Familiarity with CRM and billing systems as data sources.
- Knowledge of dlt, Grafana, or GDPR-driven data deletion workflows.
- German language skills or experience in B2B SaaS and legal-tech domains.
- Experience designing data systems for querying via AI tools by non-technical colleagues.
Stack
- ClickHouse
- dbt
- Python
- S3
- GitHub Actions
- PostHog
- Amplitude
- Segment
- Mixpanel
- Metabase
- Grafana
- dlt
How you'll work
- Fully remote position
- Must be located within CET +/-2 time zones
- Individual contributor role with no direct reports
- Flat structure with direct access to CTO and CEO
What you get
- State-of-the-art MacBook and necessary accessories provided
- Urban Sports Club membership for wellbeing
- Opportunity to own business-critical metrics end-to-end
- Direct influence on decisions in a fast-growing AI startup