Data Engineering Lead (M-2025-0039)

Position Overview

The data engineering lead designs systems to facilitate access to and finding of information. He/She plans, designs, develops and tests internal information-delivery solutions and data models with the focus on providing a positive user experience. He/She works with end users to specify requirements, create and implement designs to meet internal and client-facing objectives. He/She develops Information management standards and practices.

He/She integrates diverse needs and perspectives from internal and external clients, possesses a creative mind to develop new and fresh ideas and solutions. He/she is able to influence key stakeholders and spearhead a data driven approach to resolve business issues.

He/she holds responsibilities associated with data sourcing and preparation, data storage, reporting, analytics, data exploration and information delivery. He/She works with senior management to understand and prioritise data and information requirements. He/She oversees the development of testing methodology and criteria, standards, policies and procedures for the structure and attributes of the business intelligence tools and systems.

He/she holds responsibilities to build data flow channels and processing systems to extract, transform, load and integrate data from various sources. He/she assist with integration of data systems into existing infrastructure

Role & Responsibilities

Build data ingestion pipelines

• Build data pipelines to extract, transform, load and integrate data from various sources
• Develop complex code, scripts and data processing pipelines to process structured and unstructured data in near real-time 
• Clean, standardise and harmonise data for analytics use cases

• Validate the data sources and methods for data ingestion, and establish data transfer protocols such as API integration, SFTP pipelines, and message queue implementation.

Manage Data Engineering Team

• Oversee work allocations and staffing within a team
• Develop staff through ongoing coaching, mentoring and career discussions
• Define common goals, direction and accountability among staff
• Drive effective performance management practices within department in accordance with company policies and procedures

Set data standards and governance

• Develop standards, policies and procedures for the form, structure and attributes of the data tools and systems
• Create long-term, lean data governance initiatives that serve to improve data quality across all systems over time
• Provide guidance on best practices related to data governance
• Educate and train staff in data standards and governance

Identify business needs

• Collaborate with stakeholders to understand needs for data structure, availability, integrity, quality, scalability and accessibility
• Translate data business needs into technical system requirements
• Recommend adoption of technologies, strategies, and products in database and data processing software
• Contribute to defining data retention policies

Manage projects

• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective
• Identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders

Requirements

• Minimum 10 years of experience in delivering data warehouse or advanced analytics solutions.
• Minimum 5 years of relevant hands-on experience in delivering end-to-end industry analytics solutions, from conceptualization to deployment, within the industry.
• Demonstrate good, in-depth knowledge in BI/Big data hardware/software products, frameworks and methodologies.
• Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.
• Comfortable working with and staffing senior management, proficient in usage of Office Productivity Suite Software
• Possess good and verbal and written communication, analytical and conflict resolution skills with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders of different levels
• Strong ability to handle ambiguity and high work pressure
• Versatile in working independently as well as an effective team player

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