Principal Data Engineer

Principal Data Engineer

Location: Bristol (hybrid)

Salary: Competitive + 28% pension contributions

Job type: Permanent/fulltime or 6 – 12 month contract (both option available)

Summary of any essential experience required for the role

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 nontechnical audience.
Awareness of the modern data stack and associated methodologies

You will be a key individual contributor and be responsible for:

Building and developong re-useable pipelines for analytics and AI projects

Pushing for innovation within the platform to enable great efficiencies and detailed insights and outputs
Leading key relationships between IT and Data to grow the platform and release new capabilities
Deploying production AI models with automated monitoring from the data pipeline to the model runs and outputs

As well as supporting the team responsibilities on:

Work to Extract, Load & Transform (ELT) data sets from a variety of data sources across the clients enterprise technology stack. With a particular focus to the Extract & Load parts.

Monitoring the execution of data workflows, including identifying and mitigating risks, setting service level indicators and configuring alerts.
Adopting data governance best practice when processing raw data to develop, test and maintain datasets, including the use and maintenance of relevant resources (such as, but not limited to, a data catalogue, data dictionary, logical data models).
Developing coding standards for Python programming to be used across the Data function

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