Develop and maintain data warehouse solutions, including:\n\t
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Building robust ETL pipelines to extract, transform, and load data from multiple sources\n\t
Designing and implementing warehouse schemas and data models\n\t
Maintaining version control and testing data pipelines for reliability\n\t
Monitoring data quality and system performance\n
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Translate business logic and source system data into accurate and well-documented warehouse structures\n\t
Collaborate with internal data analysts and stakeholders to define data needs and optimise data workflows\n\t
Work closely with the in-house tech team, system owners, and other departments on cross-functional data initiatives\n\t
Contribute to the implementation of modern data tools and cloud platforms such as Azure Data Factory and Synapse\n
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\nRequirements:
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MQF Level 6 qualification (or higher) in Computer Science, Data Science, Statistics, Analytics, or a related field, plus at least 4 years’ relevant experience; \n\tOR \n\tMQF Level 5 qualification with at least 5 years’ relevant experience\n\t
Proven experience in:\n\t
Data warehousing, including data modelling and ETL processes\n\t
Coding (preferably in C# or similar languages)\n\t
Querying databases using T-SQL or comparable languages\n
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Familiarity with:
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DevOps practices such as Git and CI/CD\n\t
Cloud platforms (preferably Azure)\n\t
Data orchestration tools (e.g. Azure Data Factory, Synapse)\n
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Benefits:
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Work-from-home option\n\t
Health and life insurance\n\t
Flexible working hours\n\t
Various allowances and performance bonuses\n
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\nOffice Hours:
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Winter: 08:00–17:00\n\t
Summer: 08:00–13:30\n
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