Data Engineer

This leading commercial retailer are looking for an experienced Data Engineer to join them as part of their continued data build & enablement strategy. As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality.

Client Details Leading Global Commercial Retailer based in Nottingham. Description This leading commercial retailer are looking for an experienced Data Engineer to join them as part of their continued data build & enablement strategy.

As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality. Reporting into the Lead Data Engineer, you will use your expertise in data engineering to derive valuable insights from data assets and shape data excellence across the organisation.

Key Responsibilities

Develop and maintain robust data pipelines to ingest, process, and transform data from various sources, while ensuring data reliability and quality Implement seamless data integration processes supporting the continuous flow of information across the organisation Design, optimise and manage databases to proficiently oversee data retrieval and storage, prioritising performance, availability and scalability Craft efficient ETL processes transforming raw data into usable formats, including data cleaning, aggregation, and enrichment, streamlining data processing for enhanced efficiency Build and maintain data warehouses for structured data storage, ensuring it is organised for easy retrieval, reporting and analysis Implement stringent data quality checks and validation processes to ensure high accuracy, proactively monitoring and rectifying data integrity issues Optimise data pipelines and databases for performance and scalability, anticipating future growth and evolving business needs Enforce robust data security measures to uphold privacy regulations and safeguard against unauthorised access, ensuring data asset protection Maintain comprehensive documentation for data pipelines, processes, and models, ensuring seamless knowledge transfer and ongoing support Collaborate closely with ...

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