VP, Data Engineering & Business Intelligence, Technology & Operations

Full-time
Senior (6-10 years)

Posted 

Technical Skills

  • Analytics
  • Apache Hadoop
  • AWS
  • Big Data
  • Data Mining
  • Data Science
  • Java
  • Machine Learning
  • Microsoft Access
  • Product Management
  • Python
  • Qlikview
  • SQL
  • Statistics

Job Description

VP, Data Engineering & Business Intelligence, Technology & Operations

Location: Hong Kong

DBS. Living, Breathing Asia.

DBS is a leading financial services group in Asia, with over 280 branches across 18 markets. Headquartered and listed in Singapore, DBS has a growing presence in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. The bank's capital position, as well as "AA-" and "Aa1" credit ratings, is among the highest in Asia-Pacific. DBS has been recognised for its leadership in the region, having been named “Asia’s Best Bank” by The Banker, a member of the Financial Times group, and “Best Bank in Asia-Pacific” by Global Finance. The bank has also been named “Safest Bank in Asia” by Global Finance for nine consecutive years from 2009 to 2017.


Responsibilities 

  • Build data models & ETL pipelines for getting, processing, and delivering data that will make DBS more data driven
  • Work with engineering, data science and product management teams to build and manage a wide variety of data sets
  • Partner with business teams and stakeholders across the organization to understand their data and analytics needs and design/publish dashboards and reporting that allow them to execute more effectively
  • Run ad-hoc queries & exploratory data analyses that lead to actionable insights and/or forms basis for advanced analytical experiments
  • Automate data processes; simplify and democratize access to useable data throughout the company
  • Become an expert on all aspects of DBS’s data and analytics infrastructure
  • Be the driving force behind the adoption and effective use of our data platform and BI tools within every team at DBS


Required 

  • Degree in Computer Science or Engineering or related discipline, with 8+ years’ work experience
  • Expert knowledge in database technologies, which means excellent in SQL and a good understanding of trade-offs in building data models
  • Strong experience in working with large data sets, building data products incrementally and integrating and managing datasets from multiple sources
  • Experience building ETL pipelines and use of data ingestion and management tools such as Talend, Collibra, BlueTalon, etc.
  • Coding proficiency and experience in at least one modern programming language (e.g. Python, Java, Spark etc.)
  • Experience with Hadoop, Amazon S3 or other big data /object storage technologies
  • Experience in designing and publishing dashboards using visualization tools like Qlikview, PowerBI etc.
  • Capable of planning and executing on both short-term and long-term goals individually and with the team
  • Problem solver with excellent communication skills with ability to make sound complex decisions in a fast-paced, technical environment


Preferred 

  • Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
  • Experience with streaming data pipelines using any of Kafka, AWS Kinesis, Spark streaming etc.
  • Knowledge of/ experience working with statistics and/or Machine learning/predictive analytics/decision models/data mining libraries as well as the tools for developing such (Python/Pandas, R etc.)
  • Exposure and knowledge of Security, Encryption and Data Governance

 
Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

Employment TypeFull-time
Career LevelSenior (6-10 years)
Education LevelBachelor
LanguageEnglish