Principal Data Engineer

Fusion People; Bristol; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company in the field is seeking a Principal Data Engineer in Bristol for a permanent/full-time or contract role. The position involves substantial responsibilities including building data pipelines for analytics, driving platform innovation, and managing IT-data relationships, requiring strong technical skills in Python and knowledge of Azure Databricks.

Qualifications

• Strong knowledge of Python, ideally with PySpark.
• Experience with Azure Databricks platform.
• Adaptable with a flexible work approach.

Responsibilities

• Building reusable pipelines for analytics and AI projects.
• Managing relationships between IT and Data teams.
• Deploying production AI models with automated monitoring.

Skills

Python programming

PySpark

Azure Databricks

Collaborative problem-solving

Effective communication

Job description

Principal Data Engineer

Location: Bristol (hybrid)

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 with PySpark
• Knowledge of the Azure Databricks platform and its functionalities
• Adaptable with a willingness to work flexibly as organizational needs evolve
• Ability to work well within a team and collaborate with internal and external stakeholders
• Logical and analytical thinking skills with a pragmatic, collaborative problem-solving approach
• Effective communication of technical concepts to non-technical audiences
• Awareness of the modern data stack and related methodologies

Key Responsibilities:

• Building and developing reusable pipelines for analytics and AI projects
• Driving innovation within the platform to enhance efficiency and insights
• Managing relationships between IT and Data teams to expand the platform and introduce new capabilities
• Deploying production AI models with automated monitoring from data pipelines to model outputs

Team Support Responsibilities:

• Extracting, loading, and transforming (ELT) data from various sources, focusing on Extract & Load
• Monitoring data workflows, identifying risks, setting SLIs, and configuring alerts
• Applying data governance best practices during data processing, including maintaining data catalogs, dictionaries, and logical data models
• Developing and enforcing coding standards for Python across the Data team

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