Data Engineer (Finance)

Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality.

Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media and physical media (Ultra HD Blu-ray, Blu-ray and DVD).

To date, we serviced thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix.

Experience start-up at scale. Be part of building innovative solutions to service our media and entertainment clients and help us fulfill their content distribution needs. Join us if you’re passionate about entertainment, innovation and customer service excellence!

About the Role

We are looking for a Finance Database Engineer to join our growing team in Cairo. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.

This is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.

Primary Responsibilities

• Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric
• Develop and optimize SQL data models to support financial reporting and analysis
• Build and maintain Power BI dashboards and reporting solutions for business stakeholders
• Ensure data accuracy and integrity through validation, reconciliation, and issue investigation
• Own end-to-end data workflows, from ingestion through transformation and reporting
• Collaborate with finance and operations teams to translate business needs into scalable data solutions
• Identify opportunities to improve data processes, automation, and system performance
• Work closely with IT teams to ensure security, governance, and compliance of financial data.
• Optimize SQL queries and improve report performance.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
• 3+ years of experience in data engineering, analytics engineering, or software engineering with financial order information
• Experience with Microsoft Azure.
• Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
• Experience with Power Query, DAX, and SQL with large, complex datasets.
• Familiarity with Git and/or Azure DevOps for version control.
• Knowledge of Python for data processing and automation (preferred).
• Experience integrating data through APIs or external data sources.
• Understanding of data warehousing concepts and dimensional modeling.
• Ability to work in mixed time zones with various teams including Pacific Standard (USA)
• Experience building reports and data models in Power BI
• Strong understanding of ETL/ELT pipelines and data validation processes
• Experience working with financial or operational data is a strong plus
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to non-technical stakeholders.
• Excellent stakeholder management and collaboration skills.
• Strong organizational and time management skills.
• Continuous improvement mindset with a proactive approach to automation and process optimization.

Benefits

• Private Health Insurance
• Social Insurance
• Paid Time Off
• Training & Development