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Salary: Competitive + 28% pension contributions
Job type: Permanent/fulltime or 6 – 12 month contract (both options 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 non-technical audience.
* Awareness of the modern data stack and associated methodologies
You will be a key individual contributor and be responsible for:
* Building and developing re-usable 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 on 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 practices 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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