Principal Data Engineer

TieTalent; Bristol; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading company is seeking a Data Engineer to build and develop reusable pipelines for analytics and AI projects. This permanent full-time role focuses on innovative data solutions to enhance platforms and capabilities. Successful candidates will have strong Python skills and experience with Azure Databricks, along with a collaborative spirit and adaptability.

Qualifications

• Strong Python programming knowledge, ideally Pyspark.
• Experience with Azure Databricks.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

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

Skills

Python programming knowledge

Knowledge of Azure Databricks

Adaptability

Team collaboration

Analytical approach

Communication of technical concepts

Awareness of the modern data stack

Job description

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

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