Globeleq

Machine Learning Engineer

• Executing the technical implementation of Globeleq’s Data Transformation initiative
• Designing and building the data ingestion and processing platform
• Delivering scalable, robust, production-grade data capabilities that support reliable reporting, advanced analytics and machine learning use cases
• Contributing to the development of digital management systems, O&M projects implementations, integration of new power plants, and ongoing development within Globeleq’s Data Transformation Project

Senior Data Engineer, ML

• Design, build and maintain end-to-end automated data pipelines from internal and external sources into a central data platform including scheduling, monitoring and resolving issues for assigned workflows:
• Platform maintenance and development of Globeleq’s Central Asset Management system (CAMs), including calculation development, on-boarding assets and equipment, and a continuous improvement focus.
• Develop, implement and extend the integrated SSOT database, consolidating data from CAMs, ERP, OT/IoT, SharePoint and other platforms according to agreed standards ensuring scalable data flows.
• Develop modular and scalable data ingestion using API integrations, SQL stored procedures and ETL frameworks, maintaining reliable, automated data ingestion between internal and external platforms to the SSOT database.
• Support and provide data development solutions. Be a practical driver and enforcer of the Data Transformation plan on behalf of the Data Engineering Manager; escalating risks and developing solutions.
• Design and develop scalable data models (staging, core, marts, feature sets) that support strategic reporting, advanced analytics and ML.
• Develop scalable data models across clearly defined business layers, including staging (raw landed data), core (cleaned and standardised single source of truth), marts (business-ready views for specific domains), and feature sets (model-ready tables for machine learning and advanced analytics).
• Develop and support workflow automation and lightweight data applications using tools such as Power Apps and Power Automate, integrating these solutions with the core data platform to enable efficient business processes.
• Develop ML algorithms, dedicated toward anomaly detection, prediction and neural networks. Ensuring all data models, pipelines and storage approaches are AI/ML-ready, including feature-ready datasets for pattern recognition, prediction and anomaly detection.
• Own end-to-end development and processing (data algorithms and ML solutions)
• Technical platform development, data orchestration and data management.
• Adhere to governing data management, security and governance standards in line with the Data Governance Policy (Data Engineering, Audit and Risk, Cyber Security and IT requirements).
• Maintain, document and track comprehensive technical documentation and change management records for architectures, pipelines, automations, environments and access.
• Work with divisional data owners to reduce data silos, standardise data flows and ensure adherence to agreed standards and timelines.

Associate Data, ML Engineer

Payroll

• Manage the end-to-end payroll administration for Group and Corporate staff payrolls across multiple jurisdictions (UK, Zambia, expatriate and from time to time South Africa), ensuring that all authorised payroll changes are implemented and actioned accurately to meet all payroll and statutory reporting deadlines.
• Administer and manage end of year processes for each jurisdiction, liaising as required with the payroll vendor.
• Ensure all payroll related functions are processed within the deadlines (e.g., P45s, P11ds, P60s and pension contributions).
• Ensure all HR payroll related information is kept up to date, including correctly processing all starters and leavers.
• Maintain accurate records of all payroll transactions, instructions and requests in a confidential manner; ensuring that all records are available for audit as required.
• Provide full analysis of payroll and associated data to management accounts ensuring that all costs are clearly assigned to the correct cost codes.
• Manage and respond to all matters and queries relating to payroll from employees and vendors.
• Full compensation benchmarking using our existing pay philosophy and salary internal salary scales.
• Analyse pay data to ensure internal equity and external competitiveness
• Contribute to annual compensation review cycles (salary reviews, bonuses, incentives)
• Salary offer build ups for roles under negotiation
• Compensation benchmarking for current and future positions
• Support managers and business in consistent job levelling across multiple jurisdictions
• Support managers and business in job grading roles and positions
• Knowledge in both Patterson, but also Willis Towers Watson grading
• Work directly with the Senior HRBP to maintain and develop Globeleq’s compensation but also reward philosophy
• Partner with HR Business Partners and business leaders to provide expert reward advice
• Support organisational design and job evaluation processes
• Provide guidance on pay decisions, promotions, and new hires
• Build and develop up on our Benefit strategy
• Evaluate benefit offerings against market trends and organisational needs
• Own the benefit renewal process for Group.
• Maintain the benefit roadmap and lead on the delivery to our employees.
• Act as the Power User on all HRIS systems (IFS, SharePoint, PwC Payroll).
• Manage the end-to-end HR administration process for new starters, leavers and transfers. This includes supporting the recruitment process, obtaining references, conducting right to work checks and arranging exit interviews.
• Maintain accurate employee and HR records in compliance with HR best practice, retention guidelines and data protection requirements.
• Work closely with Finance for our Annual operating plan (AOP) for accurate labour budgeting.
• Create and administer offer of employment letters, contracts of employment, changes in employment contracts and other correspondence relating to the employee lifecycle.
• Manage and coordinate employee benefits administration for the Group & Corporate risk & benefits schemes. This includes processing new starters, leavers and changes. Also includes liaising with the benefit providers and ensuring that invoices are processed in a timely and accurate manner.
• Advise employees on basic HR queries, escalating to the wider team as required.
• Support the wider team with ad hoc duties and projects as required, including but not limited to supporting with routine compensation matters, providing data related to expatriate tax matters, providing information for audit requests, preparing information for management reports and coordinating lunch and learn events.

Payroll, Compensation & Benefits Advisor

Financial Planning and Analysis

• Manage the financial reporting for all local entities and project companies
• Custodian of all financial records
• Handle external and internal reporting
• Oversee construction budget and reporting
• Manage treasury and local tax reporting and compliance
• Support local Business Development unit in finance tax related matters
• Provide support in the preparation, construction and operation phases of projects
• Other ad hoc finance related tasks

Senior Data Engineer, ML

Associate Data, ML Engineer

Payroll, Compensation & Benefits Advisor

Finance Manager