Databricks Data Engineer

Overview

We are seeking two Data Engineers for a 6-month contract position that has a high likelihood of extension. The successful candidates will be integral to a leading AI consultancy, working on innovative data strategies and cloud data solutions using the Databricks platform, with a focus on delivering impactful results for clients.

Responsibilities

  • Develop scalable data pipelines for machine learning workloads.
  • Implement and manage cloud-native data platforms using Databricks.
  • Design data strategies and governance frameworks to optimize data use.
  • Utilize orchestration tools like Apache Airflow for workflow management.
  • Collaborate with cross-functional teams to understand data needs and requirements.
  • Ensure data quality and integrity throughout the engineering processes.
  • Maintain documentation of data engineering processes and architectures.

Requirements

  • Minimum of 5 years' experience in Data Engineering.
  • Extensive experience with the Databricks platform.
  • Proven experience in building cloud-native data platforms.
  • Strong knowledge of data modeling and dimensional modeling principles.
  • Experience with orchestration tools such as Apache Airflow or equivalent.
  • Familiarity with data warehousing concepts and practices.
  • Ability to work in a hybrid environment and adapt to client needs.