Head, Data Engineering

Job Purpose

As Head, Data Engineering, you will build and lead our data engineering team and help the members of your team grow both technically and professionally. You will work closely with the cross functional teams and be responsible for verifying requirements, defining architecture, providing thought leadership for data solutions in the enterprise, using modern data technologies that meet or exceed customer expectations. 

Responsibilities

• Lead the team in managing organization data in the cloud and all the technical tasks involved in planning, architecting, migrating, monitoring, and managing cloud data platform:
• Designing and building effective and optimized data pipelines to ingest structured/semi-structured/unstructured data from various data sources in a batch and/or real time streaming mode.
• Build, optimise and maintain data lakes, data warehouses and data marts
• Define, implement, and monitor data engineering KPI and operational metrics.
• Design and build organisation’s data architecture framework and implement state of the art tools and technologies to proactively improve data engineering processes and help drive scalable and secure data sharing practices.
• Responsible to design and manage knowledge repository containing up to date information about the data models, codes and data dictionaries.
• Utilize in-house and third-party data analytics and research tools to identify and prioritize prospective partners for achieving the desired objectives
• Support management reporting, including customer, marketing, engineering, supply chain and operations activities
• Develop dashboards to show the results for various stockholders
• Drive transformation within the organization towards data driven decision making

Qualifications & Work Experience

• Candidates should possess at least a Bachelor Degree in Statistics, Mathematics, Economics Engineering or similar field. Candidates with a Masters' degree (MBA) would have additional advantage.
• At least 10 years of relevant experience, preferably in a similar role, with 5 to 8 years of experience in a leadership capacity
• Strong leadership with excellent interpersonal and communication skills to motivate staff and partner different internal and external stakeholders to achieve organisation goals
• Data engineering certification is an advantage

Skills

Technical skills include:

• 5-8 years of cloud data engineering, data platform and data infrastructure experience, preferably with Microsoft Azure.
• Mentor and manage Data Engineers (in-house and vendor) to design and implement enterprise level data engineering solutions and best practices.
• Prior hands-on exposure in SQL and programming languages such as Python, R, etc.
• Working experience with data visualization, data mining, or statistical tools is preferred but not mandatory
• Experience in data science, data governance, digital twin and video analytics is a plus

Generic skills include:

• Strong analytical and problem-solving skills, meticulous and resourceful
• Self-starter, deals well with ambiguity, and able to work successfully across varied stakeholders
• Agility to embrace and drive change
• Commercially minded and a strategic thinker 
• Strong understanding of financial reports, analytic methods, and financial data tools are often required 
• Excellent communication, interpersonal, presentation and relationship building skills