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.