Описание

Design and build data pipelines and ETL processes to move and transform data reliably across Hickory's systems
Develop and maintain data models that support reliable, well-structured reporting and analytics
Write and optimise SQL across data pipelines, reporting layers, and ad hoc analysis
Build and maintain Power BI dashboards and reports that give stakeholders clear, accurate visibility into business performance
Apply data structures and algorithms thinking to design efficient, scalable data processes
Apply version control and CI/CD practices to data pipeline and analytics code, ensuring changes are tested and deployed safely
Apply AI tools and literacy to accelerate data engineering, analysis, and reporting work
Contribute to data warehouse design, database administration, or solution architecture where relevant
Work closely with stakeholders across the business to understand reporting needs and translate them into reliable data solutions

3 to 5 years relevant experience
Strong SQL skills, comfortable writing and optimising complex queries across large datasets
Solid experience with data modelling, structuring data for reliable and maintainable reporting
Hands-on experience building data pipelines and ETL processes
Experience building data visualisations and dashboards, ideally in Power BI
Good grounding in data structures and algorithms
Practical experience with version control (e.g. Git) and CI/CD pipelines
Working AI literacy - comfortable using AI-assisted tools to support data engineering and analysis
Exposure to Azure, data warehousing, database administration, or solution architecture is an advantage, not a requirement
Analytical and curious, detail-oriented, a strong problem solver who communicates well and can work independently

Data and Analytics Engineer