Senior Data Engineer: Build Real-Time Pipelines & Impact

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

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

We are seeking a Senior Data Engineer that 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. The Senior Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.

Be Part of Our Success

• 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.

Qualities We Value

• Shall have at least three (3) years' experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (Informatica, Talend etc).
• Shall have experience in supporting data transformation, data structures, metadata, dependency and workload management, big data technologies (e.g., Sparks, Hadoop, Hive).
• Shall have the following skillsets: Data Wrangling, Data Visualization, DBMS, SQL, PythonExperience in multiple data source support (flat files, SQL database, SAP database, PostgreSQL database, unstructured data not limited to text, documents, images, digitalized video, digitalised audio, sensor data) would be advantageous.
• Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architecture.
• 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.