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  • Posted: Oct 7, 2025
    Deadline: Oct 15, 2025
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  • MTN Group Limited entered the telecommunications scene at the dawn of South Africa’s democracy, in 1994. In 1998, we began our expansion by acquiring licences in Rwanda, Uganda and Swaziland. Since then, we continued to grow, with a view of bringing world-class telecommunications and digital services to markets across Africa and the Middle East. Through ou...
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    Manager - Data Engineer IT Squad.Group Strategy and Transformation

    Responsibilities

    Pipeline Design & Optimisation

    • Take full ownership of the design, development, and maintenance of real-time and batch data pipelines that power telco, geospatial, and behavioural analytics across the enterprise.
    • Leverage tools such as Spark, Kafka, SQL, and Python to build high-performance pipelines that meet business SLAs for latency, throughput, and resilience.
    • Drive continuous improvement in pipeline architecture to optimise cost, scalability, and cross-system efficiency in hybrid cloud environments.
    • Act as the key integration point between IT systems and the DataCo analytics ecosystem, ensuring seamless data flow across platforms.

    Big Data Infrastructure Management

    • Lead the operation and optimisation of MTN’s large-scale data infrastructure, including Hadoop, Spark, Databricks, and other distributed computing frameworks.
    • Manage ingestion and processing of high-volume telco data (e.g., CDRs, DPI, trace data, mobility signals), ensuring consistency, availability, and security.
    • Partner with IT and infrastructure teams to pre-empt system constraints and deliver scalable solutions that meet OpCo and Group data needs.

    Data Quality & Validation

    • Proactively embed end-to-end data quality controls into ingestion workflows, including validation, anomaly detection, and cleansing pipelines.
    • Champion standardisation of metadata, lineage tracking, and access control across pipelines in collaboration with governance and security teams.
    • Ensure adherence to MTN Group’s data privacy, compliance, and Responsible AI policies, enabling trusted internal and external data use.

    Analytics & AI Readiness Enablement

    • Deliver ML- and analytics-ready feature datasets with strong version control and reproducibility across markets and use cases.
    • Partner with Data Science, BI, and GIS teams to co-create structured data layers for predictive models, dashboards, and industry-specific insights.
    • Establish reusable components (e.g., curated tables, transformation logic, catalogues) that accelerate time-to-value across OpCos.

    DevOps & CI/CD Integration

    • Implement automated deployment pipelines using CI/CD tooling (e.g., GitLab CI, Terraform, Azure DevOps), enabling agile and reliable delivery of data engineering assets.
    • Lead monitoring and observability practices across pipelines, using performance dashboards, alerts, and health checks to ensure system uptime and recovery readiness.
    • Work hand-in-hand with IT platform teams to streamline deployment in hybrid and federated environments, accelerating delivery cycles and reducing operational friction

    Qualifications

    Education:

    • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline (required)
    • Master’s degree in Data Engineering, Cloud Infrastructure, or Big Data Architecture (advantageous)
    • Industry certifications in cloud platforms (Azure, GCP, AWS), big data frameworks (Spark, Hadoop), or DevOps/DataOps tools are strongly advantageous

    Experience:

    • Minimum of 5- 8 years of experience in data engineering, with at least 3+ years in a senior or lead capacity, managing high-throughput data environments
    • Demonstrated experience designing and optimising real-time and batch pipelines across cloud and on-prem infrastructures
    • Proven track record in telco-scale data processing, including handling of CDRs, DPI logs, mobility signals, or similar high-volume signals
    • Experience driving cross-functional delivery in partnership with platform teams, IT infrastructure, governance, and product squads
    • Familiarity with data monetisation, data productisation, or data enablement in platform or consulting contexts is preferred

    Competencies:

    • Data Pipeline Mastery: Expert in building and scaling real-time and batch data pipelines using Spark, Kafka, SQL, and Python
    • Big Data Infrastructure Leadership: Deep knowledge of distributed systems (Hadoop, Databricks, Hive) and hybrid cloud environments
    • Cloud & DevOps Integration: Skilled in CI/CD, containerisation (Docker, Kubernetes), IaC, and observability tools for data systems
    • Governance & Compliance Alignment: Designs pipelines that embed data lineage, security tagging, access control, and policy enforcement
    • System Optimisation: Drives performance tuning, cost efficiency, fault tolerance, and workload automation at scale
    • Team Enablement: Mentors data engineers, drives capability uplift across OpCos, and standardises reusable engineering components
    • Cross-functional Influence: Proactively engages with IT, security, architecture, and analytics functions to accelerate delivery and integration

    Apply Before 10/13/2025

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    Method of Application

    Interested and qualified? Go to MTN on ehle.fa.em2.oraclecloud.com to apply

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