Job Description

Data engineering is the backbone of almost all the data processes in the world. Here you can make your mark with large involvement to designing and developing data lake projects. A pioneer role, this role provides autonomy to the architecture of data pipelines and its construction.

• Interpret the Blueprint (system architectures & selections) and use your previous experience to help drive the Team\'s adoption and best-practice usage of our new data engineering platform, tools & techniques.
• Own the core data engineering infrastructure and extract & load processes (data pipelines, orchestration, data lake, data warehouse).
• Alongside the analytics engineer, jointly own the analytics engineering infrastructure and transformation processes (structured data modelling) including design & optimisation of dimensional data marts.
• Help to design data products & processes with the Data Team: design & iterate solutions, with particular focus on data engineering according to sound principles, and make this data timely and available
• Work closely with the wider Tech team to develop integrated data products and optimise data infrastructure and processes: help to optimise the platforms and resource usage.
• Work alongside vendors / system integrators in their delivery of data system capabilities.
• Collaborate with the Security, Compliance, IT and Finance teams to ensure optimal data governance throughout our organization.

Be a part of a dynamic and fast-paced team with exposure to large scale projec|A pioneer role with high job autonomy and involvement in a decision making pro

• 3 or more years experience using a modern data engineering stack, ideally including Python, SQL, Spark, SQL Server, DBT, Azure Synapse, general cloud IaaS / PaaS
• Fair knowledge in MDM /data governance / data security is a plus
• Experience in financial services or broader fintech is a plus
• Demonstrable deep understanding of the modern data stack and associated technologies and methodologies including pipelines, orchestration, governance of data lakes & data warehouse
• Demonstrable success delivering high-quality data engineering products and processes in established businesses: managing complexity, multiple dependencies and providing technical excellence
• Demonstrable strong communication, analysis, and troubleshooting skills in an agile development process
• Demonstrable leadership of juniors and self-directed management of multiple tasks with limited supervision
• Demonstrable interest and enthusiasm to revolutionize this corner of the commercial & specialty insurance industry, and make our organization a data leader

With key expertise in equity broking, investment banking, treasury and many others, our client is the largest investment bank in Malaysia with more than 50 years of experience in the market. Our client is looking to expand its data structure and bring in skilled yet imaginative data engineers to drive their data lake projects.

• An opportunity to work with the largest independent investment bank
• Be a part of a dynamic and fast-paced team with exposure to large scale projects
• A pioneer role with high job autonomy and involvement in a decision making process

Michael Page