
Senior Data Processing Specialist
2 weeks ago
This is a key position that combines the responsibilities of a Data Analyst and a Data Engineer.
The role will require an extremely creative individual with a strong understanding of the end-to-end data process. This includes acquiring data from source systems, transforming data to meet business needs, and visualising and analysing data to provide actionable insights that enhance business operations.
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 data-driven solutions
- Create and maintain interactive dashboards, reports, and visualisations to effectively communicate data insights to non-technical stakeholders
- Develop and maintain robust data models, schemas, and documentation to support data governance and quality initiatives
- Optimise data processing workflows for performance, scalability, and cost-efficiency
- Ensure compliance with data privacy regulations and maintain high standards of data security
- 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
- 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 programming skills
- Demonstrate clear commercial outcomes of your work and projects
- 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) are a plus
- Aptitude for understanding business objectives and translating them into actionable 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 business processes
- Experience with unstructured data and databases 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 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
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