Pixelogic Media Partners

End-to-end subtitling, dubbing, and distribution

Data Engineer - Finance & Analytics

Data Engineering +1Confirmed live in the last 24 hours

Full-timeCape Town, South AfricaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
At least 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, including Lakehouse, Data Warehouse, and Data Factory.
Experience with Power Query, DAX, and SQL with large, complex datasets.
Familiarity with Git and/or Azure DevOps for version control.
Experience integrating data through APIs or external data sources.
Understanding of data warehousing concepts and dimensional modeling.
Ability to work across mixed time zones, including with teams in Pacific Standard Time (USA).
Experience building reports and data models in Power BI.
Understanding of ETL/ELT pipelines and data validation processes.
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to non-technical stakeholders.
Stakeholder management and collaboration skills.
Organizational and time-management skills.
A proactive approach to continuous improvement, automation, and process optimization.

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 with IT teams to ensure the security, governance, and compliance of financial data.
Optimize SQL queries and improve report performance.
Transform raw data into reliable reporting models.

Desired Qualifications

DP-700 certification.
Knowledge of Python for data processing and automation.
Experience working with financial or operational data.

Data Engineer (Finance & Analytics)

Pixelogic Media Partners, LLC · Cape Town, South Africa · Full-time · Posted 2026-08-13

Workplace: on_site

Department: Finance

Description

We are looking for a Finance Database Engineer to join our growing team. 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.
Focuses on transforming raw data into reliable reporting models.

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
DP-700 Certification (Preferred)

Technical Requirements

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

Soft skills requirements:

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.

Apply

Apply at Pixelogic Media Partners, LLC

About the Company

Pixelogic Media Partners

End-to-end subtitling, dubbing, and distribution

Pixelogic Media Partners provides end-to-end creative, localization, and distribution services for film and media projects. Its offering includes subtitling, dubbing, digital cinema mastering, and content distribution across multiple platforms and formats. The company operates globally with facilities in Burbank, Culver City, London, Berlin, and Seoul, delivering 24x7 services across different time zones to support content creators, studios, owners, and broadcasters. Unlike others that offer fragmented services, Pixelogic combines artistic development with localization technology to ensure content resonates with audiences worldwide. The goal is to help creators break cultural barriers by delivering high-quality, widely accessible content through a seamless global workflow.

Company size: 1,001-5,000
Company stage: Early VC
Total funding: $15.4M
Headquarters: Burbank, CA
Founded: 2016

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