Data Engineer
Role details
Job location
Tech stack
Job description
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Requirements
Degree in Computer Science, Information Systems, or a related field or equivalent experience
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Querying languages e.g. SQL, R, Python
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Data modelling, ETL data pipeline tools, e.g. Azure Data Factory
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Data visualisation tools e.g. PowerBI, Qlik
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Certification in data engineering or related domains
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Demonstrable experience showing competency working with multiple, complex data sets
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Demonstrable experience showing competency working with data classification and standards
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Demonstrable experience showing competency and ability to give examples of successful, hands-on implementation of ETL processes and delivery of data pipelines..
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Demonstrable experience showing competency working in data in the public sector
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Competent ability to clean, integrate and scale data sets and pipeline, fixing problems in data sets, from low performance to bugs and outages
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Proficiency in using query languages such as SQL, Python, R, with any ability to work with - SQL databases
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Competent ability to produce ETL Routines to meet requirements.
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Competent ability in building, writing and executing tests to ensure data pipelines and products meet the needs of the Force
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Competent experience with data visualization tools (e.g. Power BI) for reporting and analytics purposes.
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Solid understanding of relational databases, including database design, query optimization, and performance tuning.
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Applied knowledge of modern data engineering tools, technologies and practices.
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Familiarity with data governance principles, data privacy regulations (e.g., GDPR, CCPA), and data security best practices.
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Familiarity with cloud platforms (e.g., AWS, Azure) and experience with cloud-based data services (e.g., Azure Data Factory, Azure Synapse etc.)
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Understanding of the working practices of a Police Force