Databricks Platform Engineer

iO Associates; Thüringen; Remote; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A recruitment firm is seeking experienced Databricks Platform Engineers for a remote contract opportunity. The role involves designing and optimizing data pipelines and AI workflows, collaborating with machine learning teams, and implementing MLOps practices. Strong expertise in Databricks and Python is required, with a focus on delivering under tight timelines. Ideal for candidates with experience in the oil and gas sector.

Qualifikationen

• Proven experience with Databricks platform engineering.
• Strong Python development skills.
• Solid understanding of machine learning workflows and MLOps.

Aufgaben

• Design, build, and optimise scalable data pipelines and AI workflows using Databricks.
• Collaborate with machine learning teams to ensure platform readiness for AI/ML deployment.
• Implement MLOps practices to support model development, production, and monitoring.

Kenntnisse

Databricks platform engineering

Python development

Machine learning workflows

MLOps

Analytics platforms

Tools

Azure

Jobbeschreibung

Overview:

We are seeking experienced Databricks Platform Engineers to support a high-growth project within the oil and gas sector. This is a remote contract opportunity requiring immediate availability and strong technical expertise in building and managing scalable data and AI workflows on the Databricks platform.

• Location: Remote (anywhere in Europe)
• Contract Type: Freelance / Contract (Initial 6-month term)
• Day Rate: Up to £800/day (depending on experience)

Key Responsibilities:

• Design, build, and optimise scalable data pipelines and AI workflows using Databricks
• Focus on platform engineering rather than traditional data engineering
• Collaborate with machine learning teams to ensure platform readiness for AI/ML deployment
• Implement MLOps practices to support model development, production, and monitoring
• Work with cloud technologies, ideally Azure

Essential Skills:

• Proven experience with Databricks platform engineering
• Strong Python development skills
• Solid understanding of machine learning workflows and MLOps
• Proven experience designing and building Databricks platform architecture
• Experience with analytics platforms, data pipeline creation, and statistical modelling
• Ability to work independently and deliver under tight timelines

Desirable:

• Experience in the energy or oil & gas sector
• Exposure to Palantir technologies is a plus
• Familiarity with Azure cloud services