Data Engineering Graduate Programme (Nov start date)

Shape the Future of Data and AI with Us! The age of data-driven transformation and AI-powered solutions is here, and we are at the forefront of this revolution. At FDM, we collaborate with forward-thinking clients on cutting-edge projects that harness the potential of data and artificial intelligence to redefine industries. From designing intelligent systems to building scalable data architectures, our work fuels innovation at every level. About the Role • Develop and optimize ETL pipelines • Execute data migration from on-prem systems to cloud data warehouses • Support the implementation and maintenance of data lake architecture • Write and optimize SQL queries for data processing and manipulation • Independently extract and prepare data from various source systems • Develop CI/CD pipelines for data infrastructure as code deployment • Support data governance initiatives and metadata management Technical requirements • Bachelor's degree in Computer Science, Information System, or Engineering is preferred. Data related degrees are also welcome • Demonstrable proficiency in Python programming and ETL • Strong understanding of SQL and relational database concepts • Solid understanding of data structures, algorithms, and computational complexity • Working knowledge of cloud platforms and version control is a plus What We’re Looking For • Technical Skills: Showcase it to us through your work or passion projects. • Problem Solvers: Ability to approach challenges creatively and analytically. • Collaborators: Strong communication, presentation, and teamwork ability. • Learners: Commitment to continuous learning and improvement. • Client-Focused: Ability to understand and prioritize client needs. Why Join FDM’s Graduate Programme? • Up to 12 weeks of hands-on training in our Skills Lab with expert technical coaches • Learn practical skills such as ETL, PySpark, Hadoop, Databricks, AI and Machine Learning framework and tools. • Make an impact and work on real projects wi