Principal Data Engineer

Salary: Competitive + 28% pension contributions
Job type: Permanent/full-time or 6 - 12 month contract (both options available)
Essential Experience: Strong Python programming knowledge, ideally Pyspark
Knowledge of the Azure Databricks platform and associated functionalities
Adaptable, with a willingness to work flexibly as the needs of the organisation evolve
Working well within a team, and able to work closely with internal and external stakeholders
An ability to take a logical and analytical approach, and to take a pragmatic, collaborative approach to solving problems
Adept at communicating technical concepts to a non-technical audience
Awareness of the modern data stack and associated methodologies
Key Responsibilities: Building and developing reusable pipelines for analytics and AI projects
Pushing for innovation within the platform to enable efficiencies and detailed insights
Leading key relationships between IT and Data to grow the platform and release new capabilities
Deploying production AI models with automated monitoring from data pipeline to outputs
Supporting team responsibilities such as:
Extracting, Loading & Transforming (ELT) data sets across the enterprise technology stack, with a focus on Extract & Load
Monitoring data workflows, identifying and mitigating risks, setting SLIs, and configuring alerts
Adopting data governance best practices, including maintaining data catalogues, data dictionaries, and logical data models
Developing coding standards for Python across the Data function
--- Fusion People are committed to promoting equal opportunities regardless of age, gender, religion, belief, race, sexuality, or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our website.

#J-18808-Ljbffr