Data Engineer Graduate Intern - Parsons Corporation - Dubai, UAE

Parsons; Dubai; On-site; AED 91,810 - 128,534; Full time

Benefits offered by this job

Practical exposure to enterprise data engineering

Mentorship from experienced engineers

Opportunity to work on real delivery programs

Job summary

Parsons is seeking a Data Engineer Graduate Intern in Dubai, UAE. This role offers hands-on exposure to enterprise-grade data platforms and supports cloud-based data engineering initiatives using Microsoft Azure.

The ideal candidate is a final-year student or graduate in Computer Science or a related field, with a strong foundation in Python and SQL. This position includes working on analytics solutions and mentoring from experienced professionals.

Qualifications

• Bachelor's degree or final-year student in a related field.
• Strong foundation in Python and SQL.
• Understanding of data pipeline concepts and distributed data systems.

Responsibilities

• Support batch and streaming data processing using Python.
• Assist in building and maintaining data pipelines.
• Contribute to ETL and ELT workflows using Azure tools.
• Support data ingestion from various sources.
• Work with Azure data services.
• Manage relational databases.
• Assist with analytics and reporting use cases.
• Support workflow orchestration and monitoring.
• Collaborate using Git-based version control.
• Assist in debugging and optimization of data systems.
• Document data pipelines and system designs.

Skills

Python programming and scripting

SQL querying and data transformation

Apache Spark and distributed data processing

Azure Data Factory

Azure Databricks

Data warehousing and lakehouse concepts

Git version control

Data quality checks and performance optimization

Technical documentation and collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Lake

Azure Synapse Analytics

Job description

Position Overview

Data Engineer Graduate Intern role in Dubai, UAE offering hands‑on exposure to enterprise‑grade data platforms within a global engineering and technology environment. This position supports cloud‑based data engineering initiatives using Microsoft Azure, contributing to scalable analytics solutions that enable operational, engineering, and executive decision‑making across large programs.

Key Responsibilities

• Support batch and streaming data processing using Python and distributed data frameworks such as Apache Spark.
• Assist in building and maintaining data pipelines for structured and semi‑structured data.
• Contribute to ETL and ELT workflows using Azure Data Factory, Databricks, and related tools.
• Support data ingestion from databases, APIs, files, and cloud storage platforms.
• Work with Azure data services including Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
• Query and manage relational databases such as Azure SQL, SQL Server, PostgreSQL, and MySQL.
• Assist with analytics and reporting use cases using modern data warehouse and lakehouse architectures.
• Support workflow orchestration, scheduling, and monitoring of data pipelines.
• Collaborate with the team using Git‑based version control and DevOps workflows.
• Assist in debugging, performance tuning, and optimization of data systems.
• Contribute to documentation of data pipelines, schemas, and system designs.

Ideal Profile

• Bachelor's degree or final‑year student in Computer Science, Data Engineering, Information Systems, Engineering, or related field.
• Strong foundation in Python and SQL.
• Understanding of data pipeline concepts, ETL or ELT processes, and distributed data systems.
• Interest in enterprise analytics, cloud platforms, and scalable data solutions.

Skills Set

• Python programming and scripting.
• SQL querying and data transformation.
• Apache Spark and distributed data processing.
• Azure Data Factory, Azure Databricks, Azure Data Lake.
• Data warehousing and lakehouse concepts.
• Git version control.
• Data quality checks and performance optimization.
• Technical documentation and collaboration.

Why Join Us

• Practical exposure to enterprise data engineering in a Microsoft Azure ecosystem.
• Hands‑on experience with modern data platforms and analytics architectures.
• Mentorship from experienced data engineers and architects.
• Opportunity to work on real delivery programs within a global organization.
• Strong foundation for a long‑term career in data engineering and analytics.