Data & AI- Data Engineer (Ref 25923)

Responsibilities • Work with large datasets to identify trends, patterns, and insights. • Write efficient and optimized SQL queries to extract, manipulate, and analyze data from relational databases. • Use Python for data wrangling, transformation, and statistical analysis. • Build reports, dashboards, and visualizations to present findings to stakeholders. • Collaborate with cross-functional teams including business, product, and engineering to support analytics needs. • Assist in developing data models and data pipelines as needed. • Ensure data accuracy and consistency through validation and quality checks. • Travel as needed. Requirements • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. • 2 to 3 years of hands-on experience in data analysis or related roles. • Proficiency in SQL with the ability to write complex queries. • Strong programming skills in Python (Pandas, NumPy, etc.). • Experience with data visualization tools (e.g., Power BI, Tableau, or similar). • Solid understanding of data structures, statistical methods, and business KPIs. • Strong problem-solving skills and attention to detail. • Good communication skills with the ability to present data-driven insights clearly. • Experience working with cloud platforms (e.g., AWS, GCP, or Azure). Preferred Capability (Nice to have): • Familiarity with ETL processes or tools. • Knowledge of version control systems like Git. • Exposure to machine learning concepts or libraries (e.g., scikit-learn). Shortlisted candidates will be offered a 6 months Agency Contract employment Licence no: 12C6060

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