Assist in the design and development of a data warehouse solution\n\t
Implement and maintain data pipelines for the extraction, transformation, and loading (ETL) of data from various sources\n\t
Develop and manage data warehouse schemas and data models\n\t
Perform version control and testing of data pipelines to ensure proper function and reliability\n\t
Monitor and ensure data quality across all pipelines and systems\n\t
Translate business logic and data definitions from source systems into well-documented and accurate warehouse structures\n\t
Collaborate with data analysts, internal tech teams, and external system owners to define requirements and optimize performance\n\t
Support data orchestration initiatives in line with modern data engineering practices\n
\n \nRequirements:\n\n
\n\t
An MQF Level 6 qualification in Computer Science, Data Science, Statistics, Analytics, or a related field with at least 3 years of relevant experience, OR\n\t
An MQF Level 5 qualification with a minimum of 4 years of experience in a similar role\n\t
Preference will be given to candidates with:\n\t
\n\t\t
Experience in data warehousing, including data modelling and ETL processes\n\t\t
Proficiency in coding (preferably C# or similar) and data querying (preferably T-SQL)\n\t\t
Familiarity with DevOps practices (e.g., Git, CI/CD), cloud platforms (preferably Azure), and orchestration tools such as Data Factory or Azure Synapse\n\t
\n\t\n\n \nBenefits:\n\n
\n\t
Annual increments\n\t
Additional allowances\n\t
Performance bonus\n\t
Health and life insurance\n\t
Remote work available\n\t
Flexible working hours\n
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