Cloud Data Engineer: Lakehouse Pipelines & Modern Analytics

The Elite Job; Dubai; Hybrid; AED 300,000 - 520,000; Full time

Benefits offered by this job

Flexible Working Options

Professional Development

Certification Support

Job summary

The Elite Job is seeking a skilled Cloud Data Engineer – Lakehouse Pipeline Development to design, develop, implement, and maintain scalable cloud-based data pipelines and lakehouse architectures. This role focuses on building robust ETL/ELT pipelines, integrating data from multiple sources, and enabling analytics-ready data assets across cloud platforms.

You will collaborate with data architects, analytics engineers, data scientists, and software developers to ensure performance, security, and

Qualifications

• Bachelor's degree in Computer Science, IT, Software Engineering, Data Engineering, or related field.
• Masters degree advantageous but not mandatory.
• Relevant cloud/data engineering certifications are beneficial.

Responsibilities

• Design, develop, and maintain lakehouse solutions for scalable data architectures.
• Build, deploy, and optimize batch and streaming data pipelines.
• Collaborate with data architects, analysts, data scientists, and engineers.
• Ensure data quality, governance, and security across data platforms.

Skills

SQL queries

Python

PySpark

Apache Spark

Delta Lake

Data modelling

ETL/ELT pipelines

Airflow

Git / CI-CD

REST APIs

Education

Bachelor's degree in CS/IT/Engineering

Masters preferred

Cloud/data engineering certifications

Tools

Delta Lake

Apache Iceberg

Apache Hudi

Apache Spark

Airflow

Git

CI/CD tools

Job description

The Elite Job is seeking a skilled Cloud Data Engineer – Lakehouse Pipeline Development to design, develop, implement, and maintain scalable cloud-based data pipelines and lakehouse architectures. This role focuses on building robust ETL/ELT pipelines, integrating data from multiple sources, and enabling analytics-ready data assets across cloud platforms.

You will collaborate with data architects, analytics engineers, data scientists, and software developers to ensure performance, security, and