Staff Data Engineer: Databricks & AI Platform Architect

Jobgether; Netherlands; Remote; EUR 150,000 - 190,000; Full time

Benefits offered by this job

Fully remote work

Work-life balance

Continuous learning

International collaboration

Career growth

Full-time opportunity

Job summary

Jobgether is seeking a Staff Data Engineer (Databricks Specialist) based in Netherlands to lead enterprise data platform design and development. You will drive ingestion, transformation, storage, and delivery across cloud environments, while mentoring engineers and shaping data governance and platform performance.

You will orchestrate MDM initiatives, implement agentic AI and RAG pipelines, and build data foundations for ML/LLMOps.

Qualifications

• Bachelor's degree in a related field is preferred.
• 12+ years of professional experience in data engineering or software engineering.
• Expert SQL skills and strong Python proficiency; Scala/Java is a plus.
• Extensive Databricks and cloud data platform experience (Snowflake, Azure Synapse, BigQuery, Redshift).
• Experience with MDM, data governance, and enterprise data platforms.

Responsibilities

• Own and drive the technical architecture of cross-functional data initiatives.
• Design, develop, and maintain scalable data pipelines using Databricks and cloud-native tech.
• Lead MDM initiatives including golden records, entity resolution, and hierarchies.
• Architect AI/LLM-powered solutions and integrate them into data platforms.
• Build data foundations for ML/AI, including feature stores and ML pipelines.
• Deliver backend data services and APIs (REST/GraphQL) for apps and BI.

Skills

Databricks

SQL

Python

Data architecture

MDM

Cloud platforms

LLM integration

APIs (REST/GraphQL)

Leadership & mentoring

Tools

Delta Lake

Snowflake

Azure

AWS

GCP

Job description

Jobgether is seeking a Staff Data Engineer (Databricks Specialist) based in Netherlands to lead enterprise data platform design and development. You will drive ingestion, transformation, storage, and delivery across cloud environments, while mentoring engineers and shaping data governance and platform performance.

You will orchestrate MDM initiatives, implement agentic AI and RAG pipelines, and build data foundations for ML/LLMOps.