Senior/ Data Engineer -DSC/EZ

ST Engineering; Singapore; On-site; SGD 60,000 - 80,000; Full time

Benefits offered by this job

Cutting-edge technologies

Diverse workplace

Meaningful projects

Collaborative environment

Competitive remuneration

Job summary

ST Engineering in Singapore is seeking a Data Engineer to support the design and maintenance of data systems. You will collaborate closely with stakeholders to address their data infrastructure needs and work with data scientists to define data requirements.

The role involves designing ETL processes and data pipelines, ensuring security compliance, and driving data quality assurance practices. Competitive remuneration and comprehensive benefits await the right candidate.

Qualifications

• In-depth technical knowledge in OLAP, Data Ingestion & Integration technologies, Query Optimisation.
• Technical expertise in designing, implementing and supporting data management solutions.

Responsibilities

• Work with stakeholders on data-related technical issues and support data infrastructure needs.
• Collaborate with data scientists to define data requirements.
• Design and maintain data models, ETL processes, and data pipelines.
• Monitor and report SLAs for data products.
• Ensure adherence to data security and governance standards.
• Drive data quality assurance practices.

Skills

OLAP

Data Ingestion & Integration

Query Optimisation

Data Management Solutions

Job description

Data Engineer

Supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real‑time processing, and analysis of information in a scalable, repeatable and secure manner.

Responsibilities

Work with stakeholders including customers, partners and colleagues on data‑related technical issues and support their data infrastructure needs;

Work closely with data scientists to solicit data requirements to support modeling works;

Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real‑time, near‑real‑time);

Define, monitor and report SLAs for data pipelines and data products;

Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;

Drive/execute data quality assurance practices; and

Support data management solutions pre‑sales initiatives, proposal development and provide post‑sales support.

Qualifications

• In-depth technical knowledge in OLAP, Data Ingestion & Integration technologies, Query Optimisation.
• Technical expertise in designing, documenting, implementing and supporting data management solutions, and knowledge of data privacy and security assurance.

Benefits

• An environment where you will be working on cutting‑edge technologies and architectures.
• A safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.