Data Engineer (Python)
Remote / Berlinremotemid
via Greenhouse
About this role
Data Engineer (Python)
Company
Orcrist builds the Orcrist Intelligence Platform (OIP), a Kubernetes-based data intelligence system delivered as SaaS or self-hosted/on-prem (including air-gapped deployments). We run streaming and batch pipelines that power search, ML enrichment, and investigative workflows for mission-critical customers.
Role
Rapidly validate new data initiatives end-to-end—without sacrificing adoptability. On Innovation, you’ll prototype representative connectors and pipelines (batch + streaming), generate credible performance/operability readouts, and ship a handoff package that Foundation or a delivery team can productize.
What you'll do
Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, postgres, glue, kubernetes…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlpostgresgluekuberneteskafkateams