Data Engineer

Job Summary

Media Group is looking for a highly skilled Data Engineer to join our team on a 6-month remote contract basis. We are seeking an expert in Python data engineering who can build and maintain our data infrastructure and also be able to develop user-friendly web interfaces for our existing Python codebase. The ideal candidate will be a proactive problem-solver, adept at bridging the gap between raw data and actionable insights through both custom applications and powerful Power BI dashboards.

Main responsibilities:

• Design, build, and optimize scalable ETL pipelines using Python and SQL Server Integration Services (SSIS)
• Develop and integrate functional and intuitive web-based user interfaces for our existing Python applications using frameworks like Django, FastAPI or similar
• Create, deploy, and manage insightful and interactive dashboards and reports using Power BI to meet diverse business needs
• Ensure performance, reliability, and data integrity across systems and dashboards.
• Document data workflows and monitor ETL pipelines

Key Requirements :

• Proven experience as a Data Engineer with a strong portfolio of successful data projects
• Expertise in Python for data engineering, including deep knowledge of libraries such as Pandas, NumPy, and SQLAlchemy
• Demonstrable experience developing web user interfaces with Python frameworks like Django or FastAPI
• Strong proficiency in Power BI dashboard development, including data modeling, DAX queries, and visualization best practices
• Solid experience with Microsoft SQL Server and SQL Server Integration Services
• Excellent communicator, must be able to explain technical jargon in layman terms

• Self-starter, flexible, can-do attitude, capable of multitasking, structured and works well within a team environment.
• Ability to work with minimal guidance or supervision in a time critical environment.

Preferred Skills – Not Mandatory:

• Exposure to Azure Synapse Analytics, Azure Data Factory, or other Azure data services
• Experience with cloud-based data architectures, data lakes, or big data platforms
• A strong background in data warehousing concepts and best practices (e.g., dimensional modeling, ETL/ELT patterns) is highly welcome.
• Understanding of OLAP cube development using SQL Serve Analysis Services (SSAS)

Contract Details:

• Type: Contract (6 months, with potential for extension)
• Remote: 100% remote
• Working Hours: Must be willing to work in the standard work shift : 8 AM – 5 PM, GMT+3 – Qatar time

Qualifications

• Bachelor’s Degree in IT, Computer Science or related field is desired but not mandatory
• Minimum 5 years’ experience in data warehousing, reporting and analytics related fields
• Professional certificates in analytics, data engineering or data warehousing will be a plus

Other Requirements

• Candidate must adhere to Media Ethics and Code of Conduct
• Work timings may change as per business requirements and the candidate is expected to adhere to the same.
• Candidate will be bound to Information Security policies

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