Kuda is a full service digital only bank with a banking license. Kuda is designed for your smartphone, free of ridiculous charges and great at helping you budget, spend smartly and save more.
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Design, build, and maintain scalable data pipelines, ensuring data integrity and efficiency.
Integrate and manage diverse data sources to support advanced analytics and business intelligence.
Guide and mentor junior colleagues, cultivating their professional development.
Collaborate with cross-functional teams to translate business requirements into robust data solutions.
Drive the development and deployment of machine learning models to enhance predictive analytics.
Champion data quality, security, and governance initiatives across the organization.
Requirements
5-7 years of experience in data engineering, with a proven track record of leading teams.
Exceptional SQL writing skills, with a strong preference for candidates experienced in multiple databases, particularly MS SQL Server and Google BigQuery.
Proficiency in programming languages such as C#, Go, Python, Java, and Scala.
Strong data modelling skills, with experience managing data structures using the Kimball approach and Data Vault methodologies.
Familiarity with data integration tools like SSIS, ADF, dbt Cloud, Dataform and Airbyte.
Strong analytical and problem-solving skills, with the ability to design and optimize data systems.
Bachelor’s degree in computer science, Engineering, or a related field