About the job
Job Summary: We are seeking a proactive and tech-savvy Analytics Engineer to join our data team. You will be responsible for building and maintaining robust data products, developing scalable data pipelines, and delivering actionable insights through advanced analytics and visualisation tools. This role requires close collaboration with internal stakeholders to ensure data solutions are reliable, efficient, and aligned with business goals. Key Responsibilities: • Build infrastructure to collect structured and unstructured big data. • Design, develop, test, deploy, and maintain scalable data pipelines/ data products. • Develop Source data products and Complex business data products. • Integrate pipelines and reports into automated testing frameworks. • Monitor pipeline stability and provide timely support. • Use SQL, PySpark, or Python to retrieve, manipulate, and analyse data. • Perform data quality assessments and derive meaningful insights. • Create and maintain dashboards and visualisations in Tableau, Qlik, or Power BI. • Liaise with internal stakeholders to understand data needs. • Automate and optimise data solutions and processes. • Manage and maintain cloud-based data platforms. • Apply DevOps practices to manage testing and release cycles.
Requirements
- Python
- SQL
- PySpark
- Power BI
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Operations Research, Artificial Intelligence, or a related field.
Preferred Technologies
- Python
- SQL
- PySpark
- Power BI
Similar Jobs
Data Analytics Engineer
Deloitte
AI / ML Engineer
Akoni Technologies
AI / ML Engineer
Akoni Technologies