emaratech Jobs in Dubai – Senior Data Engineer Vacancy
emaratech is hiring a Senior Data Engineer in Dubai to design, develop, own and optimise the organisation’s enterprise data platform.
The role focuses on scalable batch and streaming pipelines, data quality, governance, security, automation, platform reliability, analytics performance and the continued evolution of enterprise data architecture.
Available Job
Job Overview
- Employer: emaratech
- Position: Senior Data Engineer
- Location: Dubai, United Arab Emirates
- Posting Date: July 7, 2026
- Professional Area: Data Engineering and Enterprise Data Platforms
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Senior Data Engineer
Employer: emaratech
Location: Dubai, United Arab Emirates
Employment Type: Full-time
Posting Date: July 7, 2026
Professional Area: Enterprise Data Engineering
Position Summary
The Senior Data Engineer is responsible for designing, developing, owning and optimising the organisation’s enterprise data platform.
The role ensures that enterprise data remains reliable, accessible, secure and suitable for analytics, reporting and advanced data-use cases.
Data Platform and Pipeline Ownership
- Design scalable batch data pipelines.
- Build reliable streaming data pipelines.
- Maintain enterprise data pipelines.
- Own end-to-end data-ingestion processes.
- Manage data-transformation processes.
- Oversee data-storage processes.
- Support reliable data retrieval.
- Ensure high availability of the enterprise data platform.
- Maintain platform scalability.
- Optimise platform performance.
- Monitor data-pipeline operations.
- Resolve pipeline failures.
- Respond to production data issues.
Data Quality, Governance and Security
- Implement data-quality checks.
- Create data-validation mechanisms.
- Establish data-quality monitoring.
- Ensure data consistency across systems.
- Maintain data accuracy.
- Protect the integrity of enterprise data.
- Contribute to data-governance standards.
- Maintain relevant data documentation.
- Support data-lineage practices.
- Ensure compliance with data-security requirements.
- Support data-privacy compliance.
- Follow applicable regulatory requirements.
Automation and Platform Management
- Automate data-platform deployment.
- Automate platform monitoring.
- Automate maintenance activities.
- Maintain platform stability through proactive monitoring.
- Perform platform-performance tuning.
- Conduct root-cause analysis when failures occur.
- Implement preventive measures for recurring issues.
- Reduce operational risk through reliable platform controls.
Analytics and Query Performance
- Optimise data structures for analytics workloads.
- Improve data models used for reporting.
- Tune data-processing performance.
- Improve query performance.
- Support business service-level agreements.
- Support operational service-level agreements.
- Drive continuous improvement of the data platform.
- Contribute to future platform enhancements.
Data Architecture
- Contribute to the design of the organisation’s data architecture.
- Support the continued evolution of enterprise data architecture.
- Define data-engineering standards.
- Establish reusable engineering patterns.
- Enforce data-engineering best practices.
- Promote consistency across data solutions.
Guidance for Junior Team Members
- Provide technical expertise to new team members.
- Guide junior engineers in their daily work.
- Support faster technical development within the team.
- Share engineering standards and best practices.
- Help junior employees resolve technical challenges.
Self-Development and Performance
- Develop proficiency in the competencies required for the role.
- Identify personal training and development needs.
- Discuss development requirements with the manager.
- Attend agreed training programmes.
- Set annual performance goals with the manager.
- Work toward achieving agreed performance objectives.
Policies, Systems, Processes and Procedures
- Implement relevant procedures and controls.
- Support compliance with procedural requirements.
- Support compliance with legislative requirements.
- Deliver reliable and cost-effective technical services.
- Ensure software design follows recognised security standards.
- Ensure development activities follow security practices and methodologies.
- Follow the organisation’s information-security framework.
- Ensure relevant procedures and standards are followed by team members.
- Build appropriate controls into business application software.
- Support secure and reliable business applications.
Quality Management
- Comply with relevant quality-management procedures.
- Follow established quality controls.
- Support compliance across data-engineering activities.
- Contribute to the delivery of high-quality products and services.
Professional Focus
- Enterprise data-platform ownership.
- Batch and real-time data processing.
- Data reliability and availability.
- Data governance and lineage.
- Security and privacy compliance.
- Platform automation and monitoring.
- Query and analytics optimisation.
- Data architecture and standards.
- Production-issue resolution.
- Technical mentoring.
Qualifications and Experience
The supplied vacancy information does not specify the required academic degree, minimum years of experience, cloud platform, programming languages, database technologies, orchestration tools, streaming frameworks or professional certifications.
Salary and Benefits
Salary and benefits were not specified in the original vacancy announcement.
How to Apply
Qualified senior data-engineering professionals can review the vacancy and follow the application instructions through the main announcement page.
View Job and Application Details
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Application and CV Tips
Before Applying
- Use the exact job title in your application.
- Prepare an updated CV focused on senior-level data engineering.
- Include accurate employment dates and project details.
- Highlight enterprise-scale data platforms you have designed or owned.
- List the technologies used for pipelines, storage, transformation, orchestration and monitoring.
- Review the main announcement for the official application method.
CV Tips for the Senior Data Engineer Role
- Place your data-engineering experience near the top of your CV.
- State the scale of data platforms you have managed.
- Describe batch and streaming pipelines you designed.
- Include data volumes, processing frequencies and performance results.
- Highlight responsibility for ingestion, transformation, storage and retrieval.
- List production incidents you resolved and preventive measures you introduced.
- Describe data-quality checks and validation frameworks you implemented.
- Highlight data-governance, documentation and lineage experience.
- Include security, privacy and regulatory-compliance responsibilities.
- Describe deployment, monitoring and maintenance automation.
- List query and processing-performance improvements.
- Highlight technical leadership and junior-engineer mentoring.
Technical Areas to Highlight
- Batch-processing frameworks.
- Streaming-data technologies.
- Data orchestration.
- Cloud or on-premises data platforms.
- Data lakes and data warehouses.
- Relational and non-relational databases.
- Data modelling.
- SQL and query optimisation.
- Programming languages used for data engineering.
- Data-quality tools.
- Monitoring and observability platforms.
- Infrastructure and deployment automation.
- Security and access controls.
- Data governance and lineage.
Achievements to Include
- Data-pipeline availability improvements.
- Processing-time reductions.
- Query-performance improvements.
- Production-failure reductions.
- Data-quality improvements.
- Infrastructure or operating-cost savings.
- Manual processes automated.
- Service-level agreements achieved.
- Data-governance standards established.
- Junior engineers mentored or trained.
Interview Preparation
- Prepare to explain an enterprise data platform you designed or owned.
- Be ready to compare batch and streaming pipeline approaches.
- Describe how you monitor and recover failed pipelines.
- Explain how you ensure data accuracy and consistency.
- Prepare examples of data-security and privacy controls.
- Describe a root-cause analysis you conducted for a production issue.
- Explain how you optimise large analytics workloads.
- Be ready to discuss data architecture, standards and design patterns.
- Prepare examples of mentoring junior engineers.
Suggested Application Documents
- Updated CV.
- Academic qualification certificates.
- Cloud, data-engineering or database certifications where applicable.
- Employment and experience certificates.
- Technical project summary or portfolio.
- Professional references where requested.
Job Application Safety Warning
Do not pay recruitment fees or share passwords, banking details, verification codes or sensitive financial information with unverified individuals. Confirm that recruitment communications are connected to emaratech or an authorised recruitment source.
Summary
emaratech is hiring a Senior Data Engineer in Dubai to design, own and optimise its enterprise data platform.
The position covers data pipelines, ingestion, transformation, storage, quality, governance, security, automation, performance tuning, architecture, production support, technical standards and guidance for junior team members.