Senior Data Engineer Oracle SQL Redshift - Dubai On-Site

Cinergie Digital; Dubai; On-site; AED 112,000 - 145,000; Full time

Job summary

Cinergie Digital FZCO seeks an experienced Senior Data Engineer for a hands-on, on-site engagement in Dubai. You will design and implement scalable data architectures using Oracle, SQL, PL/SQL, and Amazon Redshift, owning ETL pipelines, data quality, and performance tuning.

Experience in aviation data structures is a strong advantage, and collaboration with IT and business teams will be key to delivering robust data warehousing solutions across structured and unstructured data ecosystems.

Qualifications

• 5–8 years hands-on data engineering and database development.
• Advanced SQL/PL-SQL skills with production debugging.
• Experience with bulk data processing for high-volume workloads.
• Proficiency in data modelling, schema design, and query optimisation.
• Hands-on Oracle DB and Amazon Redshift knowledge, tuning and ops.
• Experience with ETL/ELT pipelines and data integration.

Responsibilities

• Design, develop, and maintain scalable database solutions with PL/SQL objects.
• Build and optimise SQL/PL-SQL for ETL processes with bulk processing.
• Design data integration pipelines and data warehouses on Oracle and Redshift.
• Tune queries, indexing, and execution plans to meet SLAs and performance goals.
• Create data models, schemas, and documentation; collaborate with stakeholders.

Skills

SQL & PL/SQL

Bulk Processing

Oracle DB

Amazon Redshift

Data Modelling

Query Optimisation

ETL/ELT

Problem Solving

Collaboration

Aviation Domain

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Oracle DB Admin

Redshift Tools

Job description

Cinergie Digital FZCO seeks an experienced Senior Data Engineer for a hands-on, on-site engagement in Dubai. You will design and implement scalable data architectures using Oracle, SQL, PL/SQL, and Amazon Redshift, owning ETL pipelines, data quality, and performance tuning.

Experience in aviation data structures is a strong advantage, and collaboration with IT and business teams will be key to delivering robust data warehousing solutions across structured and unstructured data ecosystems.