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Job Description
- Excellent data analysis and exploration using T-SQL
- Proficiency in Python for ETL development and data wrangling, especially in Databricks.
- Experience writing automated tests for data pipelines
- Strong SQL programming (stored procedures, functions)
- Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data Vault 2.0)
- Experience in Azure – one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2
- Experience in building robust and performant ETL processes
- Azure Data products and MS Fabric
- Experience in using source control & ADO
- Awareness of data governance tools and practices (e.g., Azure Purview)
- Understanding and experience of deployment pipelines
- Excellent analytical and problem-solving skills, with the ability to think critically and strategically.
- Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
- To always act with integrity and embrace the philosophy of treating our customers fairly
- Analytical, ability to arrive at solutions that fit current / future business processes
- Effective writing and verbal communication
- Organisational skills: Ability to effectively manage and co-ordinate themselves.
- Ownership and self-motivation
- Delivery focus
- Assertive, resilient and persistent
- Team oriented
- Deal well with pressure and highly effective at multi-tasking and juggling priorities