Senior Data Engineer

About the role

Innovo Group is looking for a Senior Data Engineer in Dubai to help establish and run the organization's data platform, turning business information into reliable, governed and reusable data. The role is hands-on and independent, working closely with the Data Platform and Engineering Lead to build integrations, data models, quality controls, monitoring and engineering practices that support reporting, analytics, decision-making, automation and AI.

Key responsibilities

• Own the design, development, testing, release, operation and support of reliable data pipelines and platform components.
• Integrate data from business systems, databases, APIs, files and external sources using secure, scalable and reusable patterns.
• Turn requirements into transformations, data models, shared datasets, semantic layers and reusable data products.
• Implement data quality, validation, consistency, integrity, freshness, lineage, monitoring, exception handling and reconciliation controls.
• Apply engineering practices for version control, testing, documentation, controlled releases, recovery, incident management and production support.
• Improve existing data flows and platform components for reliability, performance, availability, scalability, security, maintainability, resilience and cost.
• Work with IT Business Partners and business, analytics, architecture, AI, cybersecurity and technology teams to deliver practical data outcomes.
• Contribute to the data platform roadmap, technical standards, reusable components, peer reviews and architecture decisions.
• Investigate and resolve data, pipeline and platform issues, identify root causes and share knowledge.

Required profile

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering or a related discipline, or equivalent practical experience; professional certifications are an advantage.
• Typically 5+ years in data engineering, platform delivery, software engineering or a related field.
• Proven hands-on experience building and supporting data platforms on Azure or a comparable cloud, including production pipelines and integrations.
• Experience creating reusable data products, semantic models and governed datasets for reporting, analytics, automation and AI.
• Experience working across business and technical teams and troubleshooting complex data issues.

Required skills

• Data integration, transformation, modelling, programming and query languages, and modern data platform patterns.
• Data quality, testing, lineage, monitoring, security, performance, resilience, controlled releases and incident management.
• Experience with unstructured or document-based data is an advantage.