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  • Posted: Jul 10, 2025
    Deadline: Not specified
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  • PBT Group, with in-depth knowledge of Business Intelligence solutions and experience that spans more than two decades in over 25 countries, PBT Group has engaged with many of the Top 100 companies, answering to diverse needs to give clients not only a competitive edge, but also a sustainable advantage. Worldwide expertise and local wisdom - that’s what mak...
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    Back-End Developer (Java & .NET)

    Job Description

    • The Back-End Developer will be responsible for designing, implementing, and maintaining robust back-end solutions using Java and .NET technologies. The ideal candidate should have a strong understanding of server-side logic, databases, and API development.

    Key Responsibilities:

    • Design, develop, and maintain back-end systems using Java and .NET.
    • Build scalable and efficient APIs for integration with front-end applications.
    • Implement security best practices to protect applications and data.
    • Optimise application performance and database queries.
    • Collaborate with front-end developers and other stakeholders to ensure seamless application functionality.
    • Perform troubleshooting, debugging, and system enhancements.
    • Stay up to date with industry best practices and emerging technologies.

    Requirements:

    • Bachelor’s degree in Computer Science, Software Engineering, or related field.
    • 3+ years of experience in back-end development with Java and .NET.
    • Strong knowledge of database management (SQL, PostgreSQL, or MongoDB).
    • Experience with cloud platforms such as AWS or Azure (advantageous).
    • Proficiency in microservices architecture and containerisation (Docker, Kubernetes).
    • Familiarity with DevOps tools and CI/CD pipelines.
    • Strong analytical and problem-solving skills.
       

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    AWS Data Engineer

    Job Description

    • Are you a skilled Data Engineer with AWS expertise looking for an opportunity to grow your career in a dynamic, consultancy-driven environment? PBT Group offers you the chance to work on cutting-edge projects across multiple industries, helping clients harness data to drive innovation and insights.

    Why Join Us?

    • Collaborate in an agile, team-oriented setting.
    • Build scalable, secure, and repeatable data pipelines and datamarts.
    • Gain exposure to big data and cloud technologies, including real-time and batch processing.
    • Lead end-to-end data solutions for diverse clients, ensuring high-performance outcomes.
    • Be part of a consultancy that supports professional growth and industry variety.

    Key Responsibilities

    • Design and implement data analytics frameworks and high-performance solutions.
    • Develop batch and real-time ETL processes using AWS and big data tools.
    • Lead technical teams, from user story analysis to deployment.
    • Drive data integration from on-premise to AWS Cloud environments.
    • Mentor junior team members and contribute to best practices in data engineering.

    Skills & Experience

    • 4+ years in Data Engineering or Software Engineering.
    • 2+ years of AWS experience (e.g., EMR, S3, EC2).
    • Expertise in ETL processes, Python, PySpark, and Talend.
    • Knowledge of data modeling, SQL, and handling large datasets.
    • Experience with DevOps practices and managing production environments.
    • Familiarity with agile methodologies like Scrum or Kanban.

    Qualifications

    • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
    • AWS Certification (Associate level or higher).

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    AWS Data Engineer

    Job Description

    • PBT Group is currently offering an opportunity for a Senior AWS Data Engineer.
    • The role of a Data Engineer involves constructing and maintaining data pipelines and datamarts, emphasizing scalability, repeatability, and security. Data Engineers play a pivotal role in facilitating the acquisition of data from diverse sources, ensuring its conformity to data quality standards, and enabling downstream users to access data promptly. This position is an integral part of an agile team.
    • These professionals are entrusted with the responsibility of establishing the infrastructure required to derive insights from raw data, integrating data from various sources seamlessly. They empower solutions by efficiently managing substantial volumes of data, both in batch and real-time, utilizing cutting-edge technologies from the realms of big data and cloud computing. Additional responsibilities encompass the development of proof-of-concepts and the implementation of intricate big data solutions, with a primary focus on collecting, parsing, managing, analyzing, and visualizing extensive datasets. They are adept at employing technologies to resolve challenges associated with handling vast amounts of data in diverse formats, thereby delivering innovative solutions.
    • Data Engineering is a technically demanding role that necessitates a broad spectrum of expertise in software development and programming. These professionals possess knowledge in data analysis, understanding end-user and business requirements, and have the ability to translate these needs into technical solutions. They exhibit a strong grasp of physical database design and the systems development lifecycle. Collaboration within a team environment is essential for success in this role.

    Key Responsibilities:

    • Architecting Data analytics framework.
    • Translating complex functional and technical requirements into detailed architecture, design, and high-performance software.
    • Leading the development of data and batch/real-time analytical solutions by leveraging transformative technologies.
    • Engaging in multiple projects as a technical lead, overseeing user story analysis, design, software development, testing, and automation tool creation.

    Duties: Primary Job Objectives:

    • Development and Operations
    • Database Development and Operations
    • Establishment and Adherence to Policies, Standards, and Procedures
    • Communication
    • Business Continuity and Disaster Recovery Planning
    • Research and Evaluation
    • Coaching and Mentoring

    Required Skills, Knowledge, and Experience:

    • A minimum of 5 years of experience in Data Engineering or Software Engineering.
    • Demonstrated leadership experience, managing teams of engineers for 3-5 years.
    • A minimum of 2 years of experience in Big Data.
    • At least 5 years of experience with Extract, Transform, and Load (ETL) processes.
    • A minimum of 2 years of experience with AWS (Amazon Web Services).
    • Demonstrated experience with agile or other rapid application development methodologies for at least 2 years (e.g., Agile, Kanban, Scrum).
    • 5 years of proven expertise in object-oriented design, coding, testing patterns, and working with commercial or open-source software platforms and large-scale data infrastructures.
    • Proficiency in creating data feeds from on-premise to AWS Cloud (2 years).
    • Support experience for data feeds in production on a break-fix basis (2 years).
    • A minimum of 4 years of experience in creating data marts using Talend or similar ETL development tools.
    • Proficiency in data manipulation using Python and PySpark (2 years).
    • Experience in processing data using the Hadoop paradigm, particularly with EMR, AWS's distribution of Hadoop (2 years).
    • DevOps experience in Big Data and Business Intelligence, including automated testing and deployment (2 years).
    • Extensive knowledge of various programming or scripting languages.
    • Expertise in data modeling and an understanding of different data structures and their suitability for specific use cases.

    Additional Technical Skills Required:

    • The ability to design highly scalable distributed systems using various open-source tools.
    • Proficiency in both batch and streaming Big Data tools.
    • Experience with Talend for at least 1 year.
    • Familiarity with AWS services such as EMR, EC2, and S3 for at least 1 year.
    • Proficiency in Python for at least 1 year.
    • Familiarity with PySpark or Spark (desirable for at least 1 year).
    • Experience in Business Intelligence data modeling for 3 years.
    • Proficiency in SQL for 3 years.

    Qualifications/Certifications:

    • A Bachelor's degree in computer science, computer engineering, or equivalent work experience for a minimum of 4 years.
    • AWS Certification, at least at the associate level.
       

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    Automation Tester

    Job Description

    • PBT Group is seeking an experienced Automation Tester to join a dynamic team working on high-impact systems within the financial services domain. The ideal candidate will be responsible for building and maintaining automated test scripts, conducting regression testing, and ensuring the stability of core systems. This is a contract-to-perm position based in Stellenbosch, offering a collaborative and tech-driven environment.

    Key Responsibilities:

    • Design, develop, and maintain automated test scripts for functional and regression testing.
    • Execute manual and automated test cases to identify software issues and ensure quality standards.
    • Collaborate with developers, analysts, and product owners to understand requirements and drive quality delivery.
    • Maintain detailed documentation of test cases, test results, and defect tracking.
    • Participate in agile ceremonies and contribute to continuous improvement of the testing process.

    Minimum Requirements:

    • 3+ years’ experience as an Automation Tester or Quality Assurance Engineer.
    • Proven experience in regression testing and test automation frameworks.
    • Proficient in tools such as Selenium, Cypress, or similar.
    • Strong scripting skills in Java, JavaScript, or Python (or similar language).
    • Experience with CI/CD pipelines (e.g., Jenkins, Azure DevOps) is advantageous.
    • Familiarity with defect tracking tools such as Jira.
    • Solid understanding of software development life cycle (SDLC) and Agile methodologies.

    Preferred Skills:

    • ISTQB Certification (advantageous).
    • Experience testing RESTful APIs (using Postman, REST Assured, etc.).
    • Exposure to BDD frameworks like Cucumber is a plus.

    Soft Skills:

    • Strong attention to detail and analytical thinking.
    • Effective communicator who collaborates well in cross-functional teams.
    • Self-driven, accountable, and proactive in delivering results.

    Method of Application

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