One of our clients is looking for a versatile Data Engineer / Data Scientist to drive data-driven insights. This role involves end-to-end data lifecycle management: building robust data pipelines, developing advanced analytical and ML/AI solutions, and creating impactful dashboards and reports for both internal and external stakeholders. The ideal candidate will transform raw data from diverse sources (web, social, internal systems) into actionable intelligence.
Key Requirements
- Education: A relevant degree in a quantitative field (e.g., Computer Science, Data Science, Statistics)
- Technical Stack: Programming: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Query Languages: Expertise in latest SQL dialects (e.g., T-SQL, PostgreSQL) and experience with NoSQL.
- Data Pipeline & Modelling: Design, build, and maintain scalable ETL/ELT pipelines from various sources. Develop and optimize data models and schemas for consumption by BI, ML, and AI applications.
- Dashboarding & Reporting: Create interactive dashboards (e.g., Power BI) and comprehensive client reports, visualizing key trends and insights.
- Machine Learning & AI: Identify opportunities, develop, and deploy predictive models and AI solutions.
- Querying & Analysis: Utilize advanced SQL and NoSQL for complex data extraction, manipulation, and analysis.
Should you meet the requirements for this position, please email your CV to [Email Address Removed]. You can also contact the IT team on [Phone Number Removed]; or visit our website at [URL Removed] NOTE: When replying to the advert, also include the reference number in the subject line. Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
Desired Skills:
- Pyhton
- SQL
- ETL
- Power BI