Lead: Data Engineer

Listing reference: atns_000836
Listing status: Online
Apply by: 2 April 2026
Position summary
Industry: Aviation & Aerospace
Job category: Data Processing
Location: Bedfordview
Contract: Permanent
Remuneration: Market Related
EE position: No
Introduction
To design, build, and maintain robust, scalable, and secure data pipelines and architectures that enable seamless integration, transformation, and delivery of high-quality data across the organization.
Job description

Data Integration & Operations – Ensure secure, reliable, and high-quality integration and management of data that enables operational efficiency, regulatory compliance, and data-driven decision-making across ATNS. Ensuring data architecture (models, policies, rules, standards and governance) is embedded in the build of information assets for business consumption. Ensure effective data management, formulate quality data collection techniques, implement efficient and secure procedures for data handling and analysis, and establish data sharing rules and proper governance. Monitor and analyse information and data systems, troubleshoot data-related problems, and ensure data security and integrity. Ensure data integration in the Enterprise Data Warehouse. Define and implement access and security controls in the data warehouse environment. Create efficient ETL(Extract Transform and Load) jobs to transform data. Define and implement effective data pipeline jobs to extract, transform and load data. Ensure smooth and efficient execution of all data pipelines. Ensure the day-to-day operation and management of data. Collaborate with expert teams to design and maintain data architectures that supports business needs. Evaluate and recommend data management tools and technologies. Implement and manage master data management solutions for core data entities. Ensure consistent and accurate master data across the organization. Establish data quality standards and processes to maintain high data integrity. Lead data profiling, cleansing, and validation initiatives. Monitor and report on data quality metrics and drive continuous improvement. Design and maintain data architectures that support business needs in collaboration with expert teams. Analyse and interpret large amounts of data. Ensure training on all relevant data management and automation products and service users on the applicable compliance and governance requirements. Conduct regular data security audits and risk assessments. Ensure timely compilation and submission of all the required reports (internal and external) to ensure compliance. Collaborate with expert teams to design and maintain data architectures that support business needs. 

Data Management including Data Integration, Data  Architecture, Quality and Operations – Ensure effective data management, formulate quality data collection techniques, implement efficient and secure procedures for data handling and analysis, and establish data sharing rules and proper governance. Monitor and analyse information and data systems, troubleshoot data-related problems, and ensure data security and integrity. Ensure data integration in an Enterprise Data Warehouse. Define and implement effective data pipeline jobs to Extract, Transform and load data. Ensure the day-to-day operation and management of data. Collaborate with expert teams to design and maintain data architectures that supports business needs. Evaluate and recommend data management tools and technologies. 

Governance, Compliance, Risk Management, Security, and Reporting – Develop, implement and communicate relevant policies and processes to enable effective management of data. Implement data practices in the organisation in line with regulation and ensure compliance. Identify key risks, and develop and implement effective mitigating plans and actions. Ensure compliance with data privacy regulations (e.g., POPIA, HIPAA) and industry-specific requirements. Ensure that effective data recovery plans are in place to ensure business continuity in case of a disaster or potential threats. Provide the required documents to support effective auditing processes. Ensure adherence and compliance with the ATNS regulatory framework. 

Stakeholder Relationship Management – Develop and maintain sound relationships with key IT product and service providers to support ongoing alignment and collaboration. Conclude SLAs with the various business Units to ensure business expectations are managed. Manage and provide regular reports on SLA compliance while identifying inefficiencies. Develop, implement and communicate the function’s policies and procedures to enable efficient management of data. 

Financial Management – Provide input into the development of the departmental budget. Manage delegated expenditure in line with business objectives and priorities, and within approved financial parameters. Report expenditure including any possible deviations to the budget on a monthly basis. Ensure compliance with the PFMA and ATNS Finance policy and Delegation of Authority. Provide the required supporting documents to enable effective auditing processes.

People Management – Manage staff in accordance with HC policies, processes and practices. Ensure that new employees have been properly on-boarded prior to commencing work. Monitor the time and attendance of subordinates, and report absenteeism issues to management and Human Capital. Conclude clear performance management contracts with the team and ensure effective management thereof. Manage the performance of the team via the performance management system and take corrective action promptly and effectively. Continuously coach and mentor staff to ensure skilled and competent staff. Perform talent management in accordance to the HC Talent Management process. Drive employee engagement and retention.

Minimum requirements

Minimum Formal Qualifications: 

·       B.Eng. or BSc in Computer Science or related field such as Electronics/Electrical/Computer Engineering/Data Management/ Information Systems/ Computer Science/Computer Studies/Information Technology/ Data Analytics/ Data Management/ Information Systems

·    Postgraduate degree in Computer Science or related field such as Electronics/Electrical/Computer Engineering/Data Management/ Information Systems/ Computer Science/Computer Studies/Information Technology/ Data Analytics/ Data Management/ Information Systems will be an advantage.

 

Minimum Years of Experience: 

·       Minimum 5 years’ experience in information technology, data management, and engineering within an operations environment of which at least 3 years must be at lead, senior or management level

·       Proven experience in data engineering, data integration, or related fields, with a proven track record of designing and delivering large-scale data solutions in complex, mission-critical environments

·       Proven experience in data management, familiarity with database technologies and knowledge of data administration functions

·       Familiarity with various tools and technologies to oversee and lead data management initiatives effectively

·       Demonstrated experience in building and maintaining robust ETL/ELT processes using modern data integration tools and technologies

·       Experience in translating business requirements into technical solutions that support analytics, reporting, Artificial Intelligence, Machine Learning use cases, and regulatory compliance

·       Experience in team leadership or technical management capacity, overseeing data engineering or IT project teams in a complex enterprise environment

·       Demonstrated ability to develop business cases, conduct cost-benefit analyses, and support budget justification for technology investments

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