Fresh Jobs at MECS (Pty) Ltd

• Our Client is seeking to appoint a Data Analyst with an Industrial Engineering background to join their team. The ideal candidate will have strong analytical skills and a understanding of operations within consulting, manufacturing or mining environments.

Key Requirements

• Degree in Industrial Engineering.
• Proven experience as a Data Analyst, ideally within consulting, manufacturing or mining.
• Python and SQL skills are essential.
• Please note: Candidates with experience exclusively within financial services will not be considered.

Essential skills:

• Python – to create models
• Modelling Experience
• SQL - advanced
• DAX
• Power Query
• Data science course or qualification
• AI including ML
• Microsoft 365 (Advanced Excel)
• SAP
• PowerBI
• Experience in cloud platforms

REQUIREMENTS:

• Matric / Grade 12 or equivalent (Mathematics strongly recommended)
• Diploma or Degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics or Industrial Engineering (or equivalent)
• Proficiency in SQL for data extraction and reporting (formal certification advantageous)
• Industrial Engineering Qualification
• Microsoft Power BI (DAX and Power Query / M), SQL (querying relational data sources), Issue-Based Information System (IBIS), SAP, Microsoft 365 (advanced Excel) and Microsoft Projects
• SQL Certification
• 4 to 6 years in a data analyst or business intelligence role, ideally within an operational, logistics, manufacturing or mining environment
• 3 to 5 years building reports and dashboards in Microsoft Power BI, including hands-on SQL for data preparation
• Exposure to business, asset or production data; experience with data modelling and data quality; and familiarity with Python for analytics is advantageous
• Exposure in the use of Generative AI and Machine Learning

RESPONSIBILITIES

• To extract and consolidate data from operational source systems (such as IBIS, SAP and other data sources) using tools such as SQL and Power Query
• To keep up to date with bleeding edge technology such as generative AI and build tools intelligently while keeping compliance to data governance and privacy protocols
• To deliver end-to-end reporting solutions, from problem definition and data acquisition through to data modelling, analysis and visualisation in Power BI
• To identify operational efficiency, utilisation and cost-optimisation opportunities across the business using data and statistical analysis
• To analyse and interpret operational data and translate findings into clear, actionable insights for decision-makers and through projects
• To develop and maintain the reporting datasets and Power BI dashboards by sourcing, structuring and validating data for accuracy, relevance and completeness, and integrating it into the data model within agreed deadlines
• To analyse fleet metrics such as but not limited to utilisation, productivity and associated data, identifying patterns and trends, and presenting insights and recommendations within agreed deadlines
• To implement and maintain data quality controls by profiling data, defining validation rules and quality measures, and monitoring data integrity on an ongoing basis
• To automate recurring and high-impact reports by standardising report definitions and building repeatable refresh and reporting structures, delivering within agreed deadlines
• To review fleet data for risks, anomalies and opportunities, performing root-cause analysis and reporting insights and recommendations as required
• To gather and prioritise data and reporting requirements in collaboration with stakeholders, and provide delivery feedback within agreed deadlines
• To address data gaps by detecting inconsistencies and errors, applying data cleansing and validation processes, and reporting on data quality as required

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• We're looking for a Payroll Administrator to join our dynamic team where your expertise will play a critical role in ensuring accurate, compliant and seamless payroll processing from start to finish.
• This is an excellent opportunity to take ownership of high-volume payrolls, employee lifecycle administration, statutory compliance and payroll reporting. You’ll work closely with HR, Finance and Operations while ensuring employees are paid accurately and on time, every time.

KEY RESPONSIBILITIES:

• Process weekly, bi-weekly, and monthly payrolls from start to finish, ensuring accuracy and compliance with company policies and legislative requirements.
• Manage the full employee payroll lifecycle, including new employee onboarding, employee transfers, promotions, salary amendments, leave processing, deductions, terminations, and employee record maintenance.
• Ensure all payroll input documentation is received from HR and Operations within the prescribed payroll deadlines.
• Verify the accuracy and completeness of timesheets, overtime, allowances, and other payroll inputs before processing.
• Ensure all SARS instructions, including ITA88s and debt collection directives relating to temporary employees, are actioned accordingly.
• Capture, maintain, and reconcile employee leave records, ensuring all leave transactions are accurately processed in accordance with company policy and applicable legislation.
• Ensure all employee documentation is uploaded, maintained, and accurately recorded within the PaySpace payroll system.
• Calculate and process all statutory and voluntary deductions, including PAYE, UIF, SDL, pension fund, provident fund, medical aid, garnishee orders, and other authorised deductions.
• Administer payroll in accordance with MEIBC Bargaining Council agreements, wage schedules, overtime provisions, leave provisions, and other applicable bargaining council requirements.
• Review payroll reports, identify discrepancies, investigate payroll variances, and implement corrective actions before payroll is finalised.
• Perform payroll reconciliations to ensure payroll balances reconcile with supporting documentation.
• Generate, review, and distribute payroll reports, management reports, and ad hoc reports within agreed timelines.
• Prepare and print payroll net payment listings and ensure the accurate processing of weekly, bi-weekly, and monthly EFT payment schedules.
• Prepare and submit all statutory payroll returns and ensure compliance with SARS, UIF, and other regulatory reporting requirements.
• Respond to payroll-related queries from employees, managers, HR, Finance, and Operations professionally and within agreed service levels.
• Maintain confidentiality of payroll information and ensure compliance with POPIA and company data security policies.
• Maintain accurate employee master data and ensure payroll records are complete, current, and audit-ready at all times.
• Support internal and external payroll audits by preparing payroll schedules, reports, reconciliations, and supporting documentation.
• Identify opportunities to improve payroll processes, controls, and efficiencies within the PaySpace system.
• Ensure compliance with company policies, labour legislation, statutory regulations, and internal payroll controls.
• Prepare and submit monthly MEIBC returns in accordance with Bargaining Council requirements and prescribed deadlines.
• Prepare and process all payroll-related exit documentation for terminating employees, ensuring accuracy, completeness, and compliance with company policies and statutory requirements.
• Perform any other payroll or administrative duties reasonably assigned by management.

EDUCATION & QUALIFICATIONS:

• A Certificate or Diploma in Payroll is essential.
• Membership with the South African Payroll Association (SAPA) will be considered an added advantage.

EXPERIENCE:

• Minimum 3 – 6 years payroll experience.
• Experience processing high-volume payrolls is essential.
• Advanced proficiency in Microsoft Excel.

SKILLS:

• Sound understanding of PAYE, UIF, SDL, COIDA, and other statutory payroll deductions.
• Knowledge of bargaining councils and labour legislation.
• Ability to handle large volumes of payroll data efficiently and accurately.
• Strong administrative, analytical and numerical skills.
• Attention to detail and accuracy.
• Ability to work independently as well as within a team environment.
• Ability to identify discrepancies and implement corrective actions promptly.
• Ability to work under pressure and meet strict deadlines.

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• Our client is a well-established South African organisation with a significant national footprint and a strong focus on technology, data and innovation. The business operates in a fast-paced, data-rich environment where advanced analytics and intelligent solutions play an important role in improving operational performance and customer outcomes.
• We are looking for a talented Data Scientist to join the team and turn complex data into meaningful, scalable business solutions. Position based in the East Rand.
• This is an exciting opportunity for a data-driven professional who enjoys combining machine learning, statistical modelling, data engineering and storytelling to solve real-world business challenges.
• You will work with large and complex datasets, develop predictive models, engineer meaningful features and translate analytical findings into clear, actionable insights for business stakeholders.

Duties: 

• Develop and implement machine learning models to solve business problems
• Perform statistical analysis and identify trends and patterns
• Design and implement effective feature engineering approaches
• Work with data warehouses and multiple data sources
• Build, test, validate and refine predictive models
• Analyse model performance and continuously improve solutions
• Communicate complex analytical findings through compelling data storytelling
• Partner with business and technical stakeholders to understand requirements and deliver data-driven solutions

Key Technical Skills Required

• Machine Learning
• Python and/or R
• Data Warehousing
• Statistical Modelling
• Feature Engineering
• Model Development and Validation
• Predictive Analytics
• Data Analysis and Transformation
• Data Storytelling and Visualisation
• Working with large and complex datasets
• Translating data insights into business recommendations

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology or a related quantitative field
• A postgraduate qualification in Data Science, Statistics, Machine Learning or a related discipline would be advantageous
• Relevant professional certifications in data science, machine learning or cloud technologies would be beneficial

go to method of application »

• Our client is a well-established South African organisation with a strong national footprint, delivering technology-enabled services and innovative solutions across a complex, fast-paced operating environment. The organisation is committed to using technology, data and digital solutions to improve operational efficiency and customer experience.
• We are looking for an experienced Full Stack Developer to join the development team and play a key role in building, integrating and supporting business-critical applications. Position based in the East Rand - Hybrid working model.
• This is an exciting opportunity for a hands-on Full Stack Developer who enjoys working across application development, databases, integrations and systems support.
• You will be involved in developing and maintaining web, mobile and Windows-based applications, building integrations and APIs, supporting databases, and translating business requirements into robust technical solutions.

What We're Looking For
The ideal candidate will have 6+ years of software development experience and a strong technical foundation, particularly across:

• C# / .NET development
• Strong SQL & T-SQL experience
• MS SQL Server databases
• Database development and support
• Web Services & RESTful APIs
• System and integration development
• MVC / Blazor / JavaScript
• Mobile development – Xamarin / MAUI
• Windows Forms
• Microsoft Visual Studio
• Microsoft DevOps / TFS
• SSRS
• Test Driven Development
• Microsoft Azure – advantageous

Key Focus Areas

• Full Stack Development: Design, develop, maintain and enhance business applications across web, mobile and Windows environments.
• Integration: Develop and support web services, REST APIs and system integrations, ensuring reliable communication between business systems.
• SQL & Databases: Work extensively with MS SQL Server and T-SQL, including database development, support and optimisation.
• Analysis & Design: Translate business requirements into technical specifications, process flows and effective application solutions.
• Support & Innovation: Work closely with users, customers and service providers to deliver new requirements, resolve issues and continuously improve systems.

Requirements

• Bachelor's degree in Computer Science, Information Technology or equivalent experience
• 6+ years' software development experience
• Strong hands-on C#, SQL/T-SQL, MS SQL Server and integration development experience

go to method of application »

• Wind the machine so it matches the approved data.
• The winder records what came out, builds what must go back in, presents the job at every hold point, and does not impregnate or close a winding that is wrong.
• This is a trade, used on whatever motor work is taken in — power station, mine, rail, water or industrial.
• Grades LV Winder · MV Winder · Senior / HV Winder

Reports to Production Manager

• Technical hold points Quality Manager and Engineering Manager, as marked on the QCP
• Scope AC and DC rotating machines across all sectors and clients.
• Employment Permanent, full time.
• Overtime and breakdown cover.

Minimum requirements

• Trade tested Electrician or Armature Winder, or a documented equivalent recognised in South Africa.
• Grade experience as in the table above. MV and HV grades will be tested on form-wound data and a sample winding sheet at interview.
• Able to read a connection diagram and work to a QCP without being walked through every step.
• Medically fit for workshop work, crane-supported cores and oven / VPI heat. Prepared to work overtime on breakdowns.
• Both AC form-wound and DC armature / commutator in the same person (Senior / HV).
• Utility, mining or heavy-industrial contract motors. Ability to train a junior without lowering the standard.

Grades

• Grade Typical machines Bar for appointment
• LV Winder Low-voltage AC and light DC; mush / random wound Trade test plus 3 years productive rewind
• MV Winder Medium-voltage form-wound; industrial and utility motors 5 years including MV form-wound and VPI
• Senior / HV Winder HV form-wound, large AC, complex DC armatures 7+ years; leads data, coaches others, stands as client witness.

Accountabilities — all grades

• Record winding data before strip: turns, wire, pitch, grouping, connection, insulation, leads, RTDs / thermistors / surge rings.
• Photograph failed windings. Do not destroy evidence the client still needs.
• Strip only by the approved method. No cutting torch. Heat only within the written oven limit.
• Present the core for flux / EL-CID. Do not rewind a core that has not been cleared.
• Manufacture coils to the original design unless Engineering has approved a change in writing.
• Joints brazed or welded. Insulation class and system as specified, Class H as the normal workshop minimum unless the job says otherwise.
• Present stator / rotor / armature for Quality and client witness before VPI. That hold is not optional.
• Prepare for VPI, terminate and mark leads, and support IR, PI, surge, HV and no-load tests on the winder’s work.
• DC work to grade: armature, interpoles, field coils, commutator undercut / mica / bar-to-bar. Flag a commutator that should be replaced.
• Sign the stage you did, when you did it. Expired resin or the wrong wire is not used to keep a job moving.

Authority

• Refuse to wind a core that has not passed flux / EL-CID, or a job with no approved data / QCP.
• Stop and call Production, Quality or Engineering if the material or the hold point does not match the motor.