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    Hybrid Data Engineer - Coventry, United Kingdom - WEG Tech

    WEG Tech
    WEG Tech Coventry, United Kingdom

    1 day ago

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    Description
    Data Engineer – Hybrid Working

    £30 Days Holidays + 4 Days Christmas + Bank Holidays

    Great Pension

    Career Development

    Flexible Working - (Hybrid)

    Excellent Sport & Leisure Facilities

    Training and Personnel Development Offerings

    Office Location is close to A45, A46, M1, M6, M40, M42, M69

    Great Public Transport Links


    We have a great opportunity for an experienced Data Engineer to join an established team within one of the UK's leading universities.

    As one of the Data Engineers within the team, you will be responsible for leveraging Azure Data Factory and DBT to design, develop, and maintain robust data pipelines and scalable data models which integrate data from a wide variety of structured and unstructured data sources across the university, ensuring appropriate security and utility of data.

    The role will design analytical environments such as data marts, using a user centred design approach to meet a variety of reporting or analytical needs.

    The role will also mentor users of various skill levels to engage with and succeed with their own use of the data products you help deliver.

    Directly contributing to enhancing data accessibility, quality, and analytics capabilities within the university.

    Technical work to model data and Design and Develop Data Pipelines
    Undertake and manage the development of data models
    Contribute to the design of data products and organise the backlog of work in planning tools like Jira
    Utilise Azure Data Factory to design and develop scalable and efficient data pipelines
    Utilise DBT (Data Build Tool) to create and manage data transformation processes, ensuring consistent and reliable data output

    Design, implement and maintain DataVault and Kimball-style data models to ensure efficient storage, retrieval, and analysis of data by different user communities across the university.

    Monitor and optimise the performance of data pipelines and data warehouses, identifying and resolving bottlenecks and inefficiencies.
    Design and implement data security measures
    Design and implement data quality checks and validation processes within the pipelines using expectations with the pipeline, or dedicated testing tools (SODA)
    Collaborate with data governance, architects, system/product owners and end users to ensure quality issues are addressed as needed.
    Create and maintain technical documentation, including data pipeline specifications, data models, and transformation logic
    Contribute to data modelling and schema design standards and related documentation.

    Degree in Computer Science, Data Engineering, or a related field or equivalent experience
    Strong experience working as a Data Engineer, preferably in a cloud-based environment.
    Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift.
    Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies.
    Proficient in SQL and data querying languages for data manipulation and analysis.

    Proficiency in Azure Data Factory and DBT, with a demonstrated ability to build scalable and reliable data pipelines and transformation processes.

    Familiarity with data modelling concepts and techniques, including dimensional modelling.
    Strong problem-solving and analytical skills, with the ability to analyse complex data-related issues and provide effective solutions.
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