Data Engineer - Python, Airflow, and ETL Pipeline Architecture

Job title: Data Engineer – Python, Airflow, and ETL Pipeline Architecture

Company: Dicetek

Job description: Data Engineer – Python, Airflow, and ETL Pipeline ArchitecturePosition Overview
Dicetek LLC is hiring a skilled Data Engineer for its Dubai operations to design and optimize scalable data pipelines and infrastructure. The ideal candidate will have strong command over Python, Apache Airflow, SQL, and modern ETL/ELT frameworks. This role focuses on building robust data solutions that support analytics, machine learning, and business intelligence for enterprise applications.Employment Overview
Job Location: Dubai, UAE
Industry: Information Technology and Services
Function: Data Science / Analytics
Salary: 18000-22000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Candidate Current Location: Any
Job Type: Full TimeCore Responsibilities

Architect and develop scalable ETL/ELT pipelines using Apache Airflow, Python, and SQL
Design normalized and denormalized data models for analytical and transactional systems
Optimize database performance across PostgreSQL and MySQL using indexing, partitioning, and caching
Collaborate with data scientists, analysts, and product teams to translate requirements into automated data workflows
Enforce data quality, governance, and privacy policies across structured and semi-structured datasets
Implement real-time monitoring and alerting for pipeline health, latency, and availability
Build CI/CD pipelines for data deployment and testing using GitHub or GitLab integrations
Document processes, workflows, and best practices to support data democratization across the organization
Maintain infrastructure for data orchestration, scheduling tools, and disaster recovery readiness

Candidate Requirements

Proven expertise in Python programming for data engineering
Strong command of SQL, including writing complex queries and optimization
Hands-on experience with Apache Airflow and workflow orchestration
Experience with relational databases such as PostgreSQL and MySQL
Familiarity with Git-based version control and CI/CD pipelines
Deep understanding of ETL/ELT architecture, data modeling, and transformation logic
Knowledge of data privacy and security protocols across cloud or on-prem data environments
Ability to work collaboratively across teams in fast-paced, data-intensive environments
Bachelor\’s or Master\’s degree in Computer Science, Data Engineering, or related field

Why Join Dicetek
Dicetek LLC is a leading global IT consulting and services company headquartered in Dubai. We deliver transformative data, cloud, and digital solutions for clients across banking, telecom, and public sector enterprises. Our data engineering teams build the pipelines that power real-time insights and machine learning at scale.Explore your potential with Dicetek and help enterprises unlock the power of data.*Discover why UAE job board free credits employers prefer partnering with top engineers through our exclusive hiring platform.*Job Title Data Engineer – Python, Airflow, and ETL Pipeline Architecture
Job Description Data Engineer – Python, Airflow, and ETL Pipeline ArchitecturePosition Overview
Dicetek LLC is hiring a skilled Data Engineer for its Dubai operations to design and optimize scalable data pipelines and infrastructure. The ideal candidate will have strong command over Python, Apache Airflow, SQL, and modern ETL/ELT frameworks. This role focuses on building robust data solutions that support analytics, machine learning, and business intelligence for enterprise applications.Employment Overview
Job Location: Dubai, UAE
Industry: Information Technology and Services
Function: Data Science / Analytics
Salary: 18000-22000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Candidate Current Location: Any
Job Type: Full TimeCore Responsibilities

Architect and develop scalable ETL/ELT pipelines using Apache Airflow, Python, and SQL
Design normalized and denormalized data models for analytical and transactional systems
Optimize database performance across PostgreSQL and MySQL using indexing, partitioning, and caching
Collaborate with data scientists, analysts, and product teams to translate requirements into automated data workflows
Enforce data quality, governance, and privacy policies across structured and semi-structured datasets
Implement real-time monitoring and alerting for pipeline health, latency, and availability
Build CI/CD pipelines for data deployment and testing using GitHub or GitLab integrations
Document processes, workflows, and best practices to support data democratization across the organization
Maintain infrastructure for data orchestration, scheduling tools, and disaster recovery readiness

Candidate Requirements

Proven expertise in Python programming for data engineering
Strong command of SQL, including writing complex queries and optimization
Hands-on experience with Apache Airflow and workflow orchestration
Experience with relational databases such as PostgreSQL and MySQL
Familiarity with Git-based version control and CI/CD pipelines
Deep understanding of ETL/ELT architecture, data modeling, and transformation logic
Knowledge of data privacy and security protocols across cloud or on-prem data environments
Ability to work collaboratively across teams in fast-paced, data-intensive environments
Bachelor\’s or Master\’s degree in Computer Science, Data Engineering, or related field

Data Engineer – Python, Airflow, and ETL Pipeline Architecture

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