Analytics Engineer
The successful candidate will be a highly skilled and creative individual with expertise in designing, developing, and maintaining scalable data pipelines and ETL processes to support data integration and analytics needs.
* Key Responsibilities:
* Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics needs
* Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
* Create and maintain Power BI dashboards, reports, and visualisations to communicate data insights effectively to non-technical stakeholders
* Develop and maintain data models, schemas, and documentation to support data governance and data quality initiatives
* Optimise data processing workflows for performance, scalability, and cost-efficiency
* Ensure compliance with data privacy regulations and maintain data security standards
* Provide technical support and troubleshooting for data-related issues and queries
* Stay up-to-date with industry trends and best practices in data engineering and analytics
Required Skills and Qualifications:
* Essential:
* Experience with Azure tech stack (Azure Data Factory, Azure SQL, Azure Functions, Power Automate, and Logic Apps, Cosmos DB)
* Experience with Power BI, GIT and Python
* Demonstrate clear commercial outcomes of the work and projects you've delivered
* Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; advanced degree preferred
* Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, AWS Certified Big Data) are a plus
* Aptitude for understanding business objectives and processes and translating them into business and technical analysis of relevant data
* Visualisation experience in sales/e-commerce/online shop - desirable
* Good business acumen, with keen desire to work across the organisation to analyse and improve the business
* Experience with unstructured data and data bases such as COSMOS DB or MarkLogic is a plus
* Demonstrated experience in building efficient scalable ETL/ELT pipelines from different sources including APIs, databases (e.g., Big Query), or unstructured sources (e.g. blob storage)
* Good understanding of data repository systems (business intelligence infrastructures)
* Hands-on demonstrated experience in automating data pipelines and their deployment through CI/CD is advantageous
* Demonstrated experience in investigating, recommending and integrating/deploying third party solutions, including Vendor/Partner collaboration in areas including Data Governance, Reporting Tools, Data Lakes, distributed Compute and Visualisation
Culture & Benefits:
* Our Organisation:
* We are proud to have been awarded the prestigious Employer of Choice Award for two consecutive years, 2023 and 2024.
* This recognition highlights our commitment to creating an exceptional workplace and fostering a culture of excellence.
* Our iCARE values form the basis of all we do - Integrity, Courage, Accountability, Respect, and Excellence.
* Benefits:
* Flexibility with working from home
* Regular team events
* Additional personal/carer's leave
* Continuous learning and career development opportunities