Senior Data Platform Engineer at Greenhouse Marketing
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

08 Feb, 27

Salary

80000.0

Posted On

10 Nov, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Job description


  • You analyze technical requirements, develop viable solutions on our data platform, and derive recommendations for action from them.
  • You will expand our self-service offerings and empower users to independently develop and use data products through training, templates, onboarding, and meetups.
  • You manage demand, keep requirements transparent, and prioritize them together with the product owner according to business benefit, effort, and impact.
  • You will design data governance with authorization and access concepts, data quality and traceable standards in Unity Catalog, enabling secure and independent work.
  • You will further develop our data community with show-and-tell formats, hackathons and office hours, and ensure that common standards are upheld.
  • You independently implement prototypes, dashboards, notebooks and AI applications, oversee their transition to regular operation and measure adoption, added value and costs using meaningful KPIs.


Qualifications


  • You bring several years of experience in data consulting, business intelligence, or as a solution architect and have already supported specialist departments in change processes.
  • You independently use SQL and Python, create reports and dashboards, can analyze and evaluate existing code, and ideally know Databricks or a comparable Lakehouse platform.
  • You have used LLM, RAG, or agent-based AI applications productively or implemented them in a robust proof of concept and can assess quality, effort, and costs.
  • You are familiar with common frameworks for agentic engineering from practical application and can assess when agent-based approaches offer real added value.
  • You have experience with data governance, authorization and access concepts, data quality or data protection requirements and can translate technical and professional requirements into viable standards.
  • You substantiate recommendations with KPIs, usage data or evaluation results, communicate complex content in an understandable way and advocate for joint solutions with well-founded arguments.


Responsibilities
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