Senior Analytical Engineer at Talent Engine

Centurion, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Power Automate, Data modelling, Data warehousing, PowerBI, Azure, Agile methodologies, Git, CI/CD, Process management, Systems thinking, Data governance, Analytical thinking, Troubleshooting, Mentoring

Industry

Staffing and Recruiting

Description

Role Overview: An Analytical Engineer at Lightstone is responsible for designing, developing, maintaining, and optimising scalable analytical data models and systems that enable data-driven decision-making across the organisation. The role bridges data engineering and analytics by transforming raw data into reliable, well-modelled, and performance-optimised datasets suitable for reporting, business intelligence, and advanced analytics. This includes implementing data transformation logic, ensuring data quality and governance standards and automating workflows. An Analytical Engineer applies strong problem-solving and systems-thinking capabilities to translate complex business requirements into structured, reusable data solutions. The role also drives scalability, automation, and continuous improvement while adhering to best-practice data modelling and engineering standards. Furthermore, the role will provide acting Team Lead cover as required and is expected to develop into a Team Lead position over time, subject to performance and business needs. Qualification/ Experience: Bachelor or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. At least 7+ years working experience in relevant field Automation experience using SQL, Python and Power Automate Expert in process maintenance and process management Technical Skills: Advanced SQL (Dynamic queries, query performance and optimisation) Advanced Python Knowledge of Agile Methodologies Relational Database Design SAS coding (Advantageous) Microsoft Azure Environment Advanced PowerBI & reporting Data modelling (Advantageous) SDLC methodologies Power Automate Documentation Git workflows & repositories Data warehousing Security principles Exposure to CI/CD Non-Technical Skills: Analytical and critical thinking. Inquisitive and innovative mindset. Ability to take ownership of processes and projects. Structured approach to problem-solving, identifying problems and fixing the issue, must be excellent at troubleshooting and finding resolutions to issues as they arise. Teamwork driven. Collaborate and assist team members, ensuring collective success through shared knowledge and support in various tasks. Excited about learning, pushing technical limits and finding new solutions. Strong communication skills to effectively collaborate with various stakeholders and team members within the organisation. Best practices focused. Implement, enforce, and follow best practices in order to ensure efficiency of production processes. Commitment to ongoing professional development and staying current with the latest industry trends in IT analytics. Ability to work under pressure. Proficiency in documenting processes. Passion for managing and growing a team Coaching and mentoring Standards and governance mindset Cross-functional collaboration Ambition to grow into a management role Ability to effectively manage context switching across multiple concurrent initiatives. What we offer: Market-related salary 25 days Leave Hybrid working model Company Overview: Lightstone is an intelligent solutions company with strong, industry-specific expertise and core capabilities in data management, GIS, analytics, and software development. We specialize in delivering integrated, online knowledge solutions, batch and real-time data quality solutions. We hire exceptional people and provide them with the environment where they can excel. Our non-corporate culture encourages flexibility, collaboration, and innovation. We pride ourselves in our core values to Encourage Participation, Respond to Changing Needs and Win Together, which are reflected in each development, project, product, or service we undertake to deliver.

Responsibilities

The Analytical Engineer designs, develops, and maintains scalable data models to enable data-driven decision-making across the organization. The role also involves automating workflows, ensuring data quality, and providing team leadership support as needed.