Data Engineer

Posted 12 Hours Ago
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Cape Town, Western Cape, ZAF
In-Office
Mid level
Digital Media • News + Entertainment
The Role
Build and maintain end-to-end Azure and Fabric data pipelines, optimize SQL data models, and create Power BI reporting for finance. Ensure data accuracy, collaborate with finance and IT, and improve automation, performance, and governance.
Summary Generated by Built In

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.

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

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.

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field
  • 3+ years of experience in data engineering, analytics engineering, or software engineering
  • Experience with Microsoft Azure
  • Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory)
  • Proficiency in SQL and experience optimizing SQL queries for large, complex datasets
  • Experience building reports and data models in Power BI
  • Experience with Power Query and DAX
  • Familiarity with Git and/or Azure DevOps for version control
  • Strong understanding of ETL/ELT pipelines, data validation, reconciliation, and data integrity processes
  • Understanding of data warehousing concepts and dimensional modeling
  • Experience integrating data through APIs or external data sources
  • Ability to work in mixed time zones including Pacific Standard Time
  • Knowledge of Python for data processing and automation
  • Experience working with financial or operational data
  • Strong analytical, stakeholder management, and communication skills
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The Company
HQ: Burbank, California
2,002 Employees
Year Founded: 2016

What We Do

Pixelogic provides next-generation distribution solutions for studios, broadcasters and digital retailers. OUR MISSION To help our media and entertainment customers build more efficient supply chains, more valuable products, and larger global audiences. WORLD CLASS TEAM Our team is comprised of subject matter experts and industry craftsmen who are passionate about their work, each having an extensive background working on the world’s most respected feature and episodic titles. We cultivate an open and transparent atmosphere that values integrity, continuous improvement and achievement. Our clients benefit from our forward looking approach and relentless commitment to customer service. SECURITY FIRST Our commitment to content security is foundational to our company. Every employee is involved in our security program, which includes hundreds of physical and electronic security controls. We are directly engaged with the various security organizations within the media and entertainment industry including the Content Delivery & Security Association (CDSA) and now the Trusted Partner Network (TPN). Our research and development group builds proprietary content protection solutions to fortify our overall security mission. Net-net, we are fully committed to the safeguarding of our customer’s content and our security program is constantly evolving and continuously improving.

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