Job description

Job Description

Data Engineering

• Design, develop, and maintain scalable ETL pipelines and data workflows.
• Integrate and stitch data from multiple sources into unified datasets.
• Ensure data quality, consistency and reliability across systems.
• Collaborate with IT and business teams to implement data solutions.
• Maintain documentation of data architecture, processes and Technical Metadata.
• End to End User Testing to ensure accuracy on the new datasets.

Analytics

• Analyze structured and unstructured data to identify trends, patterns, and insights.
• Develop dashboards and reports using tools like Qlik Sense and Nprinting.
• Translate business requirements into data queries and visualizations.
• Support ad-hoc data requests and exploratory analysis for stakeholders.
• Communicate findings and recommendations clearly to non-technical audiences.

Job Requirements

Who are we looking for :

• Goal oriented, resourceful self-starter with strong interpersonal and networking skills.
• Thrive in a fast-paced environment, work independently, prioritize deliverables to meet timelines efficiently, and able to adapt to changes in priorities quickly.
• Strategic thinker, pragmatic executor – able to conceptualize, develop, and deliver strategic initiatives aimed at increasing revenue, improving operational efficiencies and promoting growth.
• Analytical mindset with strong business acumen – able to proficiently understand, structure and articulate complex technical concepts in a clear and actionable manner to non-technical stakeholders.
• Excellent presentation skills, including strong oral and writing capabilities.
• Stellar stakeholder management.

Education / Experience Requirements

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field (preferred).
• Minimum of 3 years of experience in data engineering, data management, data analytics or business intelligence roles.
• Mandatory understanding of business models, data dictionaries, and proficiency in querying data using SQL tools.
• Proficiency in programming languages such as Python, Java, R, and SQL.
• Knowledge of advanced analytics and BI tools like Qlik Sense, MS BI, and Tableau is a strong plus.
• Experience with big data technologies (e.g., HDFS, Hive, Impala).
• Knowledge of data governance frameworks and best practices.
• Excellent presentation and written communication skills, along with strong interpersonal abilities.
• Experience in the banking sector is advantageous.

Be a part of UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a difference.

Additional Requirements