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Actively hiring, first seen by us 8 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, build and optimize data pipelines (ETL, ELT, streaming)
Develop and maintain data models, schemas and data dictionaries
Implement data governance policies for security, privacy and compliance
Monitor pipeline performance and troubleshoot and optimize issues
Review code, join design discussions and document data engineering work
Design, build, and optimize data pipelines using various data integration tools and technologies (e.g., ETL, ELT, streaming)
Develop and maintain data models, schemas, and data dictionaries
Implement data governance policies and procedures to ensure data security, privacy, and compliance with regulatory requirements.
Monitor data pipeline performance, troubleshoot issues, and implement optimizations
Participate in code reviews, technical design discussions, and provide constructive feedback.
Job Requirements - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree preferred. - Minimum of 1 years of experience in data engineering, with a strong focus on data pipeline development and data warehousing.
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America.
In the employer’s words · Read in context
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 8
Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
48 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Minimum of 1 years of experience in data engineering, with a strong focus on data pipeline development and data warehousing. - Proficiency in at least one programming language such as Scala, Python, or Java - Experience with Quantexa platform and its data modeling capabilities
- Experience with Quantexa platform and its data modeling capabilities - Experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL) - Experience with big data technologies (e.g., Hadoop, Spark).
- Experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL) - Experience with big data technologies (e.g., Hadoop, Spark). - Experience with containerization platforms such as OpenShift Container Platform (OCP) or Kubernetes
- Experience with big data technologies (e.g., Hadoop, Spark). - Experience with containerization platforms such as OpenShift Container Platform (OCP) or Kubernetes - Knowledge of DevOps practices, CI/CD pipelines
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About UOB
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.
Job Description
We are seeking a highly skilled and experienced Senior Officer Data Engineer to join our dynamic team at United Overseas Bank Ltd. In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines and infrastructure, ensuring the efficient and reliable flow of data across various systems to support critical business operations and analytics.
Job Responsibilities
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Additional Requirements
Be a Part of the 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.
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Central Region (City Area)
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