Junior Mechanical/Electrical Engineer

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Our client is looking for a hands-on Graduate Engineer to join their project team. This role is ideal for a recent Mechanical or Electrical Engineering graduates who is eager to gain practical, field-based experience across industrial and mining projects. The successful candidate will work closely with senior engineers to review designs, support project execution, conduct site inspections, and contribute to HVAC, ventilation, and mechanical system projects.

Key Responsibilities

Engineering and Project Support:
• Review and validate HVAC, ventilation, and mechanical system designs.
• Assist with project planning, coordination, and execution activities.
• Conduct site inspections, equipment checks, and system evaluations.
• Collaborate with multidisciplinary teams to improve system performance and efficiency.
• Provide technical feedback and recommendations on project improvements.

Site Work and Collaboration:
• Travel to client sites across South Africa and neighbouring countries when required.
• Work in field-based industrial environments supporting real-time problem solving.
• Engage with engineering teams and leadership throughout project delivery.

Required Qualifications
• Bachelor’s Degree in Mechanical or Electrical Engineering (completed within the last 5 years).

Experience and Knowledge
• Strong interest or exposure to HVAC, ventilation, or air quality systems.
• Basic understanding of project management principles.
• Willingness to travel and work on-site in industrial environments.
• Strong communication, problem-solving, and teamwork skills.

Advantageous Skills
• Exposure to HVAC design, installation, or commissioning.
• Experience with AutoCAD, Revit, or similar design tools.
• Familiarity with industrial safety standards and inspection procedures.

What’s on Offer
• Hands-on exposure to real-world engineering projects.
• Mentorship from experienced engineers and leadership teams.
• Involvement in mining, manufacturing, and energy sector projects.
• A dynamic work environment focused on growth, collaboration, and technical development.

Senior C&I Engineer

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Required Qualifications:

  • Relevant degree/diploma in Electrical Engineering, Control Engineering,
    Instrumentation Engineering, or a related field

Experience and Knowledge:

  • 8 – 10 years of experience in control and instrumentation engineering.
  • Extensive experience in mining and processing plant environments.
  • Proven track record of successfully delivering large-scale C&I projects.
  • Project Management
  • Proficiency in control system design and programming (e.g., PLC, DCS,
    SCADA systems).
  • Strong knowledge of instrumentation selection, installation, and maintenance.
  • Familiarity with industry standards such as ISA, IEC, and IEEE.

Key Responsibilities:
The C&I Engineer performs a wide range of duties including some or all of the
following:
Design and Development:

  • Select appropriate instrumentation and control equipment based on project
    requirements.
  • Ensure compliance with industry standards, regulations, and best practices.
  • Develop and review control and instrumentation system designs, including
    P&IDs (Piping and Instrumentation Diagrams), control philosophies, and
    system architectures.

Installation and Commissioning:

  • Oversee the installation, calibration, and commissioning of control systems
    and instrumentation.
  • Conduct site inspections and tests to verify system performance and
    compliance with design specifications.
  • Troubleshoot and resolve issues during the commissioning phase.

Maintenance and Optimization:

  • Develop and implement preventive maintenance programs for control systems
    and instrumentation.
  • Analyse system performance data to identify opportunities for improvement
    and optimization.
  • Provide technical support and training to plant operations and maintenance
    personnel.

Safety and Compliance:

  • Ensure all control and instrumentation activities comply with health, safety,
    and environmental regulations.
  • Participate in safety audits and incident investigations related to control
    systems.
  • Conduct risk assessments and implement mitigation measures for C&I
    systems.

Mid-Level Data Engineer

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Primary Duties and Responsibilities:

The Data Engineer will have a knack for data analysis, data manipulation and data modelling. The consultant will be responsible for understanding and driving the overall technical vision and planning of a client’s organisation and translating business needs into technical strategy.

Required Qualifications:

• Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees).

• DP-203: Data Engineering on Microsoft Azure Certification.

Experience and Knowledge:

• 5- 8 years’ working experience as a Data Engineer / Database Developer.

• Experience in data mining, large scale data modelling and business requirements gathering/analysis.

• Understanding and working experience in data integration and transformation.

• Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault.

• Working knowledge of data quality processes and master data management.

• Experience implementing design support systems using Database Management Systems (DBMS) such as SQL Server or Oracle.

• Proficiency in designing and implementing data integration and ETL solutions using SSIS, Azure Data Factory and / or SQL Server stored procedures.

• Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing or message ingestion services like Kafka, Event Hub and Stream Analytics.

• Experience in database query languages such as T-SQL, ANSI SQL, PL/SQL.

• Some experience developing software solutions using Visual Basic, C++, C#, Java or Python.

• Experience using SQL Server management Studio and Visual Studio.

• Experience implementing solutions using Azure SQL databases, Azure Synapse (Previously SQL Data Warehouse), Azure Storage Accounts (Data Lake) and / or Databricks.

• Analytical mind and business acumen

• Additional skills in the following will be taken into consideration: Tableau, Power BI, strong math skills (e.g. statistics, algebra), Scala, Python or R.

Key Responsibilities:

• Identify valuable data sources and automate collection processes.

• Undertake preprocessing of structured and unstructured data.

• Analyze large amounts of information to discover trends and patterns.

• Data Modelling (Relational and Star Schema).

• Database design.

• Database development.

• Data Warehouse Design – Build and Development.

• Database Administration.

• Database Performance Tuning and Optimisation.

• Present information using data visualization techniques.

• Propose solutions and strategies to business challenges.

• Collaborate with engineering and product development teams.

• An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks.

• Real-Time analytics and batch processing.

• Strong experience in architecting analytical applications in cloud environment such as Amazon Web Services and Microsoft Azure.

Competencies:

• Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.

• Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.

• Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

• Deductive Reasoning: The ability to apply general rules to specific problems to produce answers that make sense.

• Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

• Excellent communication skills: Ability to engage with C-level stakeholders, both verbal and non-verbal and communicate a deep understanding of the business and a broad knowledge of technology and applications.

• Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organization’s current structure and assists in the development of specifications and requirements.

• Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.

• Schedule Management: Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time for oneself and your team.

• Team Leadership: To oversee and direct development teams throughout the project development lifecycle, experience with team leadership and motivation is essential.

• Ability to translate strategy and strategic objectives into measurable and executable projects.

• Experience working on large project(s) incorporating processes and procedures and standards

 

 

 

 

 

 

Data Analytics Engineer (Tableau)

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Primary Duties and Responsibilities:

Responsibilities include requirements analysis, design, database and report development capabilities with a core focus on Tableau Analytics Solutions.

Previous exposure and/or a good understanding of source data analysis, data warehouse design, report building, and visualisation is key to fulfil an end-to-end role within the Business Intelligence space. The role requires experience from technical preparation, ingestion and orchestration to business report visualisation.

Required Qualifications:

• Tertiary degree, diploma, or certificate in a related field (BSc, B.IT or BCom Informatics related degrees).

Experience and Knowledge:

• 3 – 5 years’ working experience as a BI Reporting Analyst, Database Developer and/or Software Consultant.

• Working knowledge of Database design and Data analytics.

• The ideal candidate must have at least 3 to 5 years’ experience in the following technologies, tools, and disciplines:

o Tableau (Required)

o Power BI (Beneficial)

o Microsoft SQL

o Microsoft Azure Fundamentals

o Data staging, preparation, and cleansing

o Database Warehousing Methodologies and Best Practices

o Data Modelling

o Data Consolidation

Key Responsibilities:

• Business analysis and requirements gathering.

• Data analysis, design and reporting.

• Prepare analytical reports.

• Update database structures and information.

• Design and develop databases to store information for reporting.

• Document operational procedures.

• Document technical specifications or requirements.

• Provide technical support for software/technology maintenance or use.

• Data mapping and transformation.

• Migrating existing client’s deliveries to new business intelligence platform.

• Data sourcing, cleansing, transformation, analysis and reporting within a business intelligence environment.

• Develop strong team and client relationships to create an ongoing partnership with team members and various client stakeholders.

• Extensive testing of solutions to ensure high quality deliverables.

• Initiate process changes and enhancements where necessary and ensure successful implementation thereof.

• Design, develop, implement and maintain reports and dashboards using visualisation tools such as Tableau and Microsoft Power BI platforms.

Competencies:

• Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.

• Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.

• Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

• Deductive Reasoning: The ability to apply general rules to specific problems to produce answers that make sense.

• Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

• Excellent communication skills: Ability to engage with C-level stakeholders, both verbal and non-verbal and communicate a deep understanding of the business and a broad knowledge of technology and applications.

• Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organization’s current structure and assists in the development of specifications and requirements.

• Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.

• Schedule Management: Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time for oneself and your team.