Ubique Systems
Senior Machine Learning & Data Engineer
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong in Python, SQL, PySpark, data transformation
- Hands‑on with Azure & Databricks (Unity Catalog, Jobs, Pipelines)
- Experience in LLMs, NLP, MLOps/LLMOps
- Solid understanding of distributed systems & system design
- Experience in Data Science / Advanced Analytics
Nice to have
- Domain experience in banking or insurance
Full description
Location: Amsterdam (Hybrid – 2–3 days onsite)
Role Overview
Seeking a Senior ML & Data Engineer with strong LLMOps and Azure Databricks expertise to build scalable AI/ML solutions in a banking/insurance environment. This role combines hands‑on engineering with stakeholder engagement.
Core Responsibilities
- Build and optimise ML/data pipelines using Python, SQL, PySpark
- Develop and deploy LLM-driven solutions (prompt engineering, LLMOps)
- Design ETL workflows and distributed data processing systems (Spark)
- Translate business requirements into production‑grade data solutions
Must‑Have Skills
- Strong in Python, SQL, PySpark, data transformation
- Hands‑on with Azure & Databricks (Unity Catalog, Jobs, Pipelines)
- Experience in LLMs, NLP, MLOps/LLMOps
- Solid understanding of distributed systems & system design
- Experience in Data Science / Advanced Analytics
Good to Have
- Domain experience in banking or insurance