Head of Data Engineering

The Head of Data Engineering is first and foremost a leader within the department overseeing the activities related to data ingestion, data transformation, data extraction and data operations for internal and external Client needs.
 

The Head of Data Engineering is responsible for setting the department vision and culture and brings technical know-how and operational excellence to the team.
 

The Head of Data Engineering takes responsibility for the accessibility, retrievability, security, quality, retention, and ethical handling of datasets. As such the Head of Data Engineering designs, implements, and operationalize data pipelines to achieve those objectives.
 

As CLIENT is currently starting a cloud migration journey, the Head of Data Engineering brings cloud expertise and help support design and migration activities to transition existing services into the cloud.
 

 DESCRIPTION OF MAIN TASKS / RESPONSIBILITIES
 

The Head of Data Engineering is a team leader who manages his/her team towards the following activities:
 

Data extraction services
 

·       Execute ad-hoc, monthly and quarterly data extraction services as required by CLIENT internal/external Clients and in accordance with services SLA
 

·       Perform QA activities related to Client data services
 

·       Execute data analysis to provide insight for internal/external needs
 

·       Automate recurrent data related activities
 

·       Investigate data to answer customer complaints related to CLIENT services (for example score complain, credit report complaint etc…)
 

Data pipeline development and operationalization
 

·       Design data pipelines to ingest data from multiple sources and implement quality processes
 

·       Design processes to create data insight, data features and operationalize analytics models
 

·       Develop and implement those data pipelines
 

·       Operationalize data pipelines for automated and semi-automated execution
 

·       Implement reporting of data universe, data quality across the organization
 

Data platform innovation
 

·       Own the Data Platform, suggest, specify, and implement enhancements to the platform
 

·       Suggest and implement technology components relevant to the data platform
 

·       Support key initiatives including migration of CLIENT data services to the cloud
 

Education / Certification
 

·       Bachelor’s Degree, Post Graduate Diploma, Professional Degree in Computer Science / Information Technology or equivalent
 

Professional Experience
 

(Variety of Functions, Variety of Business, General Management Experience)
 

·       Minimum 10 years’ experience in product / software development
 

·       Minimum 5 years’ experience working with a data platform
 

·       Experience working within financial industry is a plus
 

Competencies
 

·       Strong knowledge of data platforms, data pipelines, data related development including platforms such as Hadoop, Spark, Jupyter, cloud native services
 

·       Proficient with cloud services and knowledge of data related cloud native services (Azure and/or AWS)
 

·       Proficient with tools and programming languages required to implement data pipelines: SQL, Python / Pandas
 

·       Proficient with tools required to implement automation and monitoring: Shell scripts, scheduling tools such as AirFlow
 

·       Experience with ETL tools such as Talend and/or cloud native services
 

·       Experience implementing reporting using a data platform or reporting software
 

·       Excellent written and verbal communication skills including English
 

·       Able to multi-task and prioritize activities efficiently
 

·       Understanding of financial industry and related data (CCRIS, SSM, Angkasa, Idaman…) is a plus
 

Leadership Experience
 

·       Excellent organizational, operational and leadership skills
 

·       Strong analytical and problem-solving capabilities
 

·       Strong strategic and business mindset
 

Intercultural / International Experience
 

·       Outstanding communication and interpersonal abilities
 

·       Ability to communicate complex concepts in a clear and understandable manner