Senior Data Engineer

Innovo Group; Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

Innovo Group is seeking a Senior Data Engineer to help build and operate the company’s data platform. You will own data pipelines, data models, and data products, turning business information into reliable, governed data for analytics and AI.

The role requires hands-on engineering, independent decision-making, and collaboration with cross-functional teams to improve reliability, performance, and cost while delivering practical data outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related discipline, or equivalent practical experience.
• Typically 5+ years in data engineering, platform delivery, software engineering, or a related field.
• Hands-on experience independently designing, building, deploying, and supporting data platforms on Azure or a comparable cloud platform.
• Strong experience with data integration, transformation, modeling, programming and query languages, and modern data platform patterns.
• Experience applying engineering and operational practices across data quality, testing, lineage, monitoring, security, performance, resilience, and production support.
• Experience creating reusable data products, semantic models, and governed datasets for reporting, analytics, automation, and AI.

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 patterns.
• Translate business and technical requirements into transformations, data models, datasets, semantic layers, and data products.
• Implement controls for data quality, validation, lineage, monitoring, and reconciliation.
• Establish engineering practices for version control, testing, documentation, controlled releases, and production support.
• Assess and improve existing data flows for reliability, performance, availability, scalability, and cost.
• Collaborate with IT and business teams to clarify requirements and deliver practical data outcomes.
• Contribute to the data platform roadmap, standards, reusable components, and architecture decisions.

Skills

Data integration

Data modeling

Data quality

Monitoring

Security

Incident management

Data pipelines

Data products

Unstructured data handling

Programming / query languages

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure

Job description

Job Description

Role Purpose

The Senior Data Engineeris responsible forhelpingestablishand operate the organization’s data platform, turning business information into reliable, governed, and reusable data. This is a hands-on role for someone who can work independently, make sound technical decisions, and take ownership from requirements through production support. Working closely with the Data Platform and Engineering Lead, the role will build integrations, data models, quality controls, monitoring, and engineering practices that enable reporting, analytics, decision-making, automation, and AI. The role offers the opportunity to solve important data challenges, shapethe engineeringcapability, and build foundations that will grow with the organization.

Key Accountabilities

• 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 engineering patterns.
• Translate business and technical requirements into well-designed transformations, data models, shared datasets, semantic layers, and reusable data products.
• Implement controls for data quality, validation, consistency, integrity, freshness, lineage, monitoring, exception handling, and reconciliation.
• Establish and apply engineering practices for version control, testing, documentation, controlled releases, recovery, incident management, and production support.
• Assess and continuously improve existing data flows and platform components for reliability, performance, availability, scalability, security, maintainability, resilience, and cost.
• Work withIT Business Partners andbusiness, analytics, architecture, AI, cybersecurity, and technology teams to clarify requirements, definitions, and dependencies and deliver practical data outcomes.
• Contribute to the data platform roadmap, technical standards, reusable components, peer reviews, and architecture decisions, making clear recommendations and raising risks early.
• Investigate and resolve data, pipeline, and platform issues,identifyroot causes, prevent repeated failures, and share knowledge with colleagues and delivery partners.

Qualifications, Experience, Knowledge & Skills

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related discipline, or equivalent practical experience. Relevant professional certifications are an advantage.
• Typically5+ years in data engineering, platform delivery, softwareengineeringora relatedfield.
• Proven hands-on experience independently designing, building, deploying, and supporting data platforms on Azure or a comparable cloud platform, including production pipelines, integrations, data products, or platform components.
• Strong experience with data integration, transformation, modeling, programming and query languages, and modern data platform patterns.
• Experience applying engineering and operational practices across data quality, testing, lineage, monitoring, security, performance, resilience, controlled releases, incident management, and production support.
• Experience creating reusable data products, semantic models, and governed datasets for reporting, analytics, operational needs, automation, and AI. Experience working with unstructured or document-based data is an advantage.
• Experience working across business and technical teams, troubleshooting complex data issues, and improving the reliability, performance, cost, and maintainability of data solutions.
• Hands-on engineer with strong problem-solving, debugging, and delivery skills.
• Proactive and accountable, with the judgment to work independently, keep delivery moving, and raise blockers early.
• Pragmatic and quality-focused, willing to challenge weak data, unclear requirements, and unsustainable solutions.
• Clear and collaborative communicator who shares knowledge, creates repeatable practices, and adapts as priorities and information evolve.

Requirements