Lead/Senior Data Engineer

Role: • Design, lead and implement a data warehouse/lake/store. • Design, develop, and maintain scalable data pipelines and ETL/ELT processes. • Manage data ingestion from multiple structured and unstructured sources. • Build and maintain data warehouse / data lake infrastructure. • Ensure data quality, integrity, and availability across systems. • Optimize data processing jobs for performance and reliability. • Collaborate with data analysts, data scientists, and application teams. • Implement data security, access control, and data governance practices. • Monitor, troubleshoot, and resolve data pipeline issues. • Maintain documentation for data architectures, pipelines, and processes. • Support operational and maintenance activities. • This role will need to secure a clearance, due to the sensitivity of the project. Requirements: • Degree in Computer Science, Information Technology, Data Engineering, or related field. • Experience in data engineering or related data roles. • Proficient in SQL and programming languages such as Python, Java, or Scala. • Experience with ETL tools and data pipeline frameworks. • Experience with relational databases and big data technologies (e.g., Hadoop, Spark). • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)Knowledge of data warehousing concepts and data modelling. • Strong problem-solving and analytical skills. • Good communication and teamwork skills. To apply: Please send your latest CV in MS Word format to [email protected] Appreciate the interest of all applicants; however only shortlisted candidates will be notified. EA Licence No: 20S0237