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Data Engineer Jobs in Dubai, UAE
Job Description
- Develop, implement, and maintain robust data models, ETL processes, and data integration pipelines to support reporting and analytics needs.
- Collaborate with stakeholders to understand their reporting requirements, translate them into technical specifications, and ensure timely delivery of high-quality BI/analytical solutions.
- Design and create interactive dashboards, reports, and visualizations using BI tools (predominantly Power BI) to deliver actionable insights to business users.
- Innovate the development and application of new intelligence/analytical methods that can perform consistently and can scale to deliver real value.
- Build prototypes to validate proof-of-concepts and collaborate with internal and external stakeholders to adopt solutions to support decision making, business intelligence, and improvements to all aspects of the company’s operations.
- Continuously monitor and optimize the performance, reliability, and scalability of the organisation’s BI solutions to meet evolving business needs.
- Collaborate with data engineers to design and implement efficient data integration workflows and processes.
- Identify and resolve data quality issues and inconsistencies, working closely with data stakeholders to ensure data consistency and trustworthiness.
- Lead the identification and delivery of automated reporting using modern data visualization techniques.
- Work closely with other engineering and technology teams to identify strategic opportunities for BI/analytics engineering to be leveraged to create optimal solutions.
- Ensuring the quality, security, and scalability of BI/analytics engineering output remains high including supporting documentation.
- Drive a data-first culture both within the data team and across the company by supporting continual improvement and data enablement activities.
- Mentor, develop and empower colleagues in the domain of analytical expertise and data visualization.
- Serve as technical point of contact for business stakeholders.
- Accountable for technical decision making, defining successful outcomes and owning engineering execution for BI/analytics within the team.
- Develop business cases for investments to drive improvements in metrics.
- Identify new/emerging tools, technologies, and methodologies for adoption to enhance the organisation’s existing capabilities
Skills
- Experience working with a variety of data sources, database types, query authoring (SQL), as well as common data modelling, analytics and visualisation toolsets.
- Expert knowledge of working with common Data Warehousing/Data Lake technologies as well as BI tooling (ideally Microsoft Power BI and SQL Server Analysis Services).
- Highly proficient in manipulating, processing and extracting value from large, disconnected datasets (near real-time or event-driven data would be an advantage).
- Solid understanding of banking/financial services domain (particularly back-office treasury/finance/accounting and regulatory reporting – eg. CBUAE BRF).
