Assist in the development and maintenance of a data warehouse solution\n\t
Build data pipelines for efficient extraction, loading, and transformation (ETL) of data\n\t
Develop and manage data models and warehouse schemes\n\t
Test and monitor data pipelines to ensure performance and quality\n\t
Maintain version control and documentation aligned with data definitions and business logic\n\t
Collaborate with analysts, system owners, and internal teams to define data requirements and ensure accuracy\n\t
Work in alignment with DevOps and cloud computing best practices where applicable\n
\n \nRequirements:\n\n
\n\t
An MQF Level 5 qualification in Computer Science, Data Science, Statistics, Analytics, or a related field with at least 2 years of relevant experience, OR\n\t
An MQF Level 4 qualification in a relevant field with at least 3 years of work experience\n\t
Preference will be given to candidates with:\n\t
Experience in data warehousing, data modelling, and ETL processes\n\t
Coding and data querying skills (ideally C# and T-SQL)\n\t
Familiarity with DevOps practices, Git, CI/CD, and cloud platforms (preferably Azure)\n\t
Exposure to data orchestration tools such as Azure Data Factory or Synapse Analytics\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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