44 Data Pipelines jobs in Dubai

Unlock Your Career Potential as a Senior Data Architect Lead.

We seek an accomplished data professional to spearhead our enterprise-wide data architecture initiatives. Based in Dubai, you will collaborate with C-suite leaders and technical teams to design scalable, secure, and business-aligned data ecosystems across industries, including government, financial services, energy, and retail.

• Develop strategic direction for data architecture by defining enterprise and solution-level strategies.
• Design modern cloud-based data platforms using Azure, AWS, or GCP technologies.
• Promote data mesh and advanced architectural patterns to drive innovation.
• Foster collaboration between business and technology stakeholders to translate data needs into effective solutions.
• Support data governance, security, lineage, and catalog initiatives in partnership with Data Officers and CDOs.

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years of experience in data architecture, engineering, or information management.
• Demonstrated expertise with ETL/ELT tools, big data, streaming technologies, and strong knowledge of data modeling, API management, security, privacy frameworks.

• Certifications in cloud architecture or data engineering.
• Experience working in the GCC region with clients in public sector banking or oil and gas.

The role of a Data Architecture Expert involves designing, implementing, and maintaining an organization's data architecture and strategy to support business intelligence, analytics, and machine learning operations. This position requires strong expertise in data engineering principles, data warehousing, and data integration.

The ideal candidate will have extensive experience in data architecture design and implementation, with strong knowledge of data engineering principles and practices. They should be proficient in SQL and data manipulation languages, with expertise in MLOps and machine learning pipelines.

• Key Responsibilities:
• Design a robust data architecture that integrates data from various sources and supports diverse analytical needs.
• Implement data engineering pipelines for ETL processes, ensuring data quality and consistency.
• Collaborate with data scientists and machine learning engineers to design data infrastructure and processes.
• Ensure data security and compliance by implementing security measures and policies.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Preferred certifications: AWS Cloud Data Engineer and AWS Machine Learning Ops Engineer.

• Strong interpersonal skills with the ability to work across cross-functional teams.
• Ability to translate technical concepts into actionable insights.
• Passion for building scalable systems.

We are seeking a skilled professional to fill the role of Senior Data Architect . The ideal candidate will have expertise in cloud-native solutions and be able to design, build and maintain scalable data pipelines and architectures. They should have deep knowledge of data engineering best practices and the ability to optimize data flows that power analytics and business insights.

1. Design, build and maintain ETL/ELT pipelines to ingest data from various sources into AWS and GCP data platforms.
2. Manage and monitor data storage solutions (Amazon S3, Redshift).
3. Implement data transformation workflows using services like AWS Glue, Lambda, EMR or Step Functions.
4. Ensure data quality, security and governance across all pipelines.
5. Collaborate with Data Analysts, DevOps, Engineering and Business stakeholders to understand data requirements.
6. Monitor pipeline performance and troubleshoot issues to maintain high data availability and reliability.

1. Bachelor's degree in Computer Science, Data Engineering or a related field.
2. 4+ years of experience in Data Engineering or related fields.
3. Data Storage: S3, Redshift.
4. Data Processing: Glue, EMR, Lambda, Step Functions.
5. Streaming: Kinesis, Kafka/MSK.
6. Proficiency in SQL and Python/Pyspark.
7. Experience with data modeling, schema design and query optimization.
8. Knowledge of data security, encryption, IAM and compliance standards.
9. Familiarity with CI/CD pipelines and Infrastructure as Code.

Our organization is seeking a skilled Solution Architect to spearhead the development of business intelligence platforms. The ideal candidate will possess expertise in designing and implementing scalable, secure, and high-performance data architectures.

The successful architect will be responsible for:

Job Title: Data Integration Specialist

As a seasoned data integration specialist, you will leverage your expertise to design and architect business-critical data migration solutions using Business Objects Data Services (BODS). Your technical prowess in developing real-time interfaces, troubleshooting ETL issues, and estimating work effort will be invaluable in driving project success.

• 5+ years of experience in BODS design and architecture is essential.
• Proven ability to prepare detailed technical specification documents is required.
• Hands-on experience with BAPI, IDOC, and SAP applications using BODS is necessary.
• Solid knowledge of SQL/PLSQL and its application in data migration projects is crucial.
• Analytical skills to independently resolve complex ETL issues are essential.
• Experience with installation, configuration, and optimization of BODS is required.
• Understanding of BODS landscape, architecture, and transformations is vital.

Requirements:

• Seniority level: Experienced
• Employment type: Contract
• Job function: Information Technology
• Industries: IT Services and IT Consulting

We are seeking a skilled Data Integration Engineer to join our team in Dubai. The successful candidate will be responsible for designing, developing, and implementing data integration solutions using Informatica Big Data Management (BDM). This role requires strong expertise in Oozie scheduling, HQL, Hive, HDFS, and data partitioning.

• Design and implement data integration pipelines using Informatica BDM.
• Collaborate with teams to ensure scalability, security, and compliance of data pipelines.
• Participate in maintenance, troubleshooting, and performance tuning of data integration jobs.
• Contribute to the design and implementation of security controls, data governance, and compliance measures.

• Bachelor's or Master's degree in Computer Science or related field.
• Minimum 4+ years of development experience in Informatica Big Data Management.
• Extensive knowledge of Oozie scheduling, HQL, Hive, HDFS, and data partitioning.
• Proficiency with SQL and NoSQL databases; Linux OS and shell scripting.

• Excellent interpersonal and communication skills.
• Positive attitude, collaboration, and ability to motivate and build trust within the team.

The ideal candidate will possess hands-on expertise in Oracle Data Integrator (ODI), designing and implementing robust Extract, Transform, and Load (ETL) solutions to support manufacturing business processes, integrated with Azure Cloud Services, Python-based scripting, and Databricks environments.

This role focuses on developing and maintaining data integration solutions that enable the organization to collect, transform, and manage large volumes of manufacturing data for analytics, reporting, and operational decision-making.