Data Engineer

Databricks Developer

Role Overview:

• Position: Databricks Developer
• Seniority Level: Senior
• Location: Remote in Finland
• Assignment Period: 01 December 2026 – 31 December 2027
• Workload: 100% (approx. 37.5 hours per week)
• Languages: Good written and spoken Finnish and English required.

Key Responsibilities:

• Build production-grade AI applications using Databricks capabilities.
• Design and implement data and feature pipelines utilising Delta Lake, Auto Loader, and Spark.
• Develop and maintain MLflow-based model training and inference systems.
• Utilise Hugging Face and foundation models, including fine-tuning and Retrieval-Augmented Generation (RAG) solutions.
• Build and manage production processes using Databricks Workflows and Jobs, alongside API and model serving solutions.
• Participate in application change management, version control, and controlled deployment processes.
• Handle incident management, root cause analysis, corrective actions, and performance optimisation of production processes, clusters, and streaming workloads.
• Contribute to application documentation, architecture design, and continuous improvement of the production environment.

Mandatory Skills & Experience:

Databricks Technical Expertise:

• Spark (Python / PySpark / SQL)
• Delta Lake (optimization, schema evolution, time travel)
• Auto Loader and Structured Streaming
• MLflow (tracking, registry, model serving)
• Databricks Workflows / Jobs
• Git-based development (Repos)
• AI Expertise:
• Experience developing and deploying machine learning models to production
• Experience utilising Hugging Face models, foundation model fine-tuning, or RAG solutions
• Experience with API-based inference
• Other Skills: Experience with Azure services.

If you are interested, or you know someone that could be, please reach out and we can arrange a time to speak?