Senior Data Engineer

Listing reference: atns_000870
Listing status: Online
Apply by: 12 May 2026
Position summary
Industry: Aviation & Aerospace
Job category: Data Processing
Location: Bedfordview
Contract: Permanent
Remuneration: Market Related
EE position: No
Introduction
Applications are invited for the position of Senior Data Engineer (Grade 8) based at Head Office, Bruma. The successful applicant will be reporting to the Manager: Data Integration and Operations Purpose 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 organisation. To ensure that enterprise data assets are efficiently ingested, processed, and made available to support analytics, reporting, and management decision-making. To manage and lead the design, development, and optimisation of data pipelines and ETL/ELT processes for the Enterprise Data Warehouse (EDW) and other analytical platforms. To implement data engineering best practices to ensure data integrity, security, availability, and performance at scale. To collaborate with data architects, analysts, and business stakeholders to translate business requirements into technical data solutions. To develop, manage, and maintain master data integration frameworks and ensure consistent, accurate, and trusted data delivery. To lead the integrated diverse data sources (structured and unstructured) to support advanced analytics, business intelligence, and artificial intelligence and machine learning algorithm use cases. To manage and drive the automation and operationalisation of data workflows, including real-time streaming and batch processing. To ensure continuous research in the industry to identify trends and new technologies that can be implemented internally to enhance the current Safety, Security, Health and Environment policies, processes and procedures
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. Ensure 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. Manage the day-to-day operation and ensure effective management of data. Collaborate with expert teams to design and maintain data architectures that support 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 organisation. 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 support 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 with the HC Talent Management process. Drive employee engagement and retention
 

Interested applicants are requested to register their CV’s and apply on https://atns.ci.hr/ by no later than 12 May 2026.

If you have not been contacted within 3 weeks of the closing date of this advert, please accept that your application was unsuccessful.

ATNS is an equal opportunity employer that strives to achieve a diverse workforce broadly representative of our people. This position will be filled in line with the objectives of ATNS’ Employment Equity Plan and therefore candidates from designated groups, as per the Employment Equity Act of 1998, are encouraged to apply.

People with disabilities are encouraged to apply

Minimum requirements

Formal Qualifications

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

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

Required Experience

·   Minimum 5 years’ experience in information technology, data management, and engineering data integration, ETL/ELT, data warehousing/ data lakes, enterprise data platform development, and data pipeline development including data pipeline orchestration, integrating data across multiple systems, working with structured and unstructured data, and supporting enterprise data platforms such as data warehouses or data lakes within an operations environment of which at least 3 years must be at a senior specialist 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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