Job Purpose

We are seeking a highly skilled Data Process Engineer with hands-on experience in developing complex data intensive processes and solutions. The successful candidate will bring a solid and diverse skillset in data frameworks and applications, including R, Python, SQL, etc. The ideal candidate will be responsible for the development and maintenance of automated processes based on telecommunication performance data (CDRs, usage, event listeners, etc.).

These processes will focus on the rating of usage, management of spend caps, developing business logic in the orchestration layer, govern automated messaging to customers, and much more. All these processes will focus on enhancing operational efficiency on an ongoing basis, while at the same time ensure revenue recognition is optimal at all times. As a Data Process Engineer, you will collaborate with cross-functional teams and support these teams as and when required to scope, develop, and deliver production processes / systems.

Main Duties and Responsibilities

• Analyse large-scale telecommunications datasets, including (but not limited to) network traffic data, call detail records (CDRs), billing and usage, etc., to identify trends, patterns, and areas for improvement.
• ​Develop and maintain on an ongoing basis, complex production grade data processes (i.e., usage rating, event listeners engine, CDR injections, etc.) developed in R, which in turn underpins the accuracy of companywide operations as it relates to data integrity, customer engagement and optimal revenue recognition.
• ​Develop data structures necessary to support analysis and drive business processes by combining diverse data sources, including geolocation data, usage, etc., which are distributed across multiple databases and unstructured data sources.
• ​Collaborate with internal (SysOps, Tech, Finance, etc.) as well as external (network operators, hosted system owners, etc.) stakeholders as part of dedicated delivery teams as and when required to define business requirements, develop analytical solutions, and implement process improvements.
• ​Support migration of legacy processes into modern Python and SQL-based solutions.
• ​Maintain and debug existing KNIME workflows related to finance functions (e.g., commissions, clawbacks, internal reporting) as part of a phased decommissioning plan.
• ​Develop and maintain Python-based ETL pipelines that monitor internal systems and flag issues.
• ​Design, build, and manage cloud-based data warehouses and transformation pipelines using Microsoft Fabric — including Lakehouse, Pipelines, and Dataflows.
• ​Design and execute experiments to evaluate the effectiveness of process improvements and validate the impact on network performance and customer satisfaction.

Key attitude/behaviours

Exceptional results require exceptional people. Exceptional people who live and breathe the plan.com values. We are built on trust, fuelled by passion and driven by excellence.

Attributes we look for include:

• Curious and continuous learner – We value individuals who are eager to learn and grow and committed to self-improvement. We encourage continuous learning and provide a wide range of opportunities for personal and professional development.
• Innovative and Initiative – We embrace innovation and encourage our team members to be ambitious, think outside the box, challenge the status quo, and explore new ideas to drive growth and success. We value team players who can work off their own initiative, empower our people to make informed decisions and trust them to do the right thing.
• Adaptable – In a dynamic industry, adaptability is key. We seek individuals who can thrive in a changing environment, embrace new challenges, and quickly adjust to evolving circumstances while maintaining a positive attitude.
• Collaborative – We value the collective power of working together.
• Passion – One of our three core values, passion goes beyond our people's enjoyment of their work. It's a passion for the business and their contribution to furthering its success. It means striving to be the best and encouraging those around us to do the same. And it means not being afraid to take risks. Go big or go home!