Senior/ Data Engineer

ST Engineering; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

ST Engineering is seeking a Senior Data Engineer to design, implement, and maintain data flow channels and processing systems for large-scale data ingestion, storage, and analytics. The role focuses on scalable, secure, and repeatable data architectures across batch and real-time processing.

You will collaborate with data scientists to collect requirements, define ETL processes, and build data models and warehouses supporting diverse data sources, while ensuring data quality and adherence to

Qualifications

• Three or more years of experience building and optimising data pipelines using DI/ETL technologies (Informatica, Talend, etc).
• Experience with big data technologies (Spark, Hadoop, Hive).
• Proficiency in Data Wrangling, Data Visualization, SQL, and Python.
• Experience with multiple data sources (flat files, SQL, SAP, PostgreSQL, unstructured data).
• Familiarity with MS Access, SharePoint, Power BI, Kubernetes, Docker/Podman, Microservices, and DevSecOps is a plus.

Responsibilities

• Design, implement, and maintain data pipelines and data processing systems at scale.
• Define, monitor, and report SLAs for data pipelines and data products.
• Ensure data security and governance standards are met in solutions.
• Drive data quality assurance practices and support pre-sales initiatives.

Skills

Data wrangling

Data visualization

SQL

Python

Data modelling

ETL

Tools

Informatica

Talend

Spark

Hadoop

Kubernetes

Docker/Podman

Power BI

MS Access

SharePoint

Microservices Architecture

Job description

About ST Engineering

Title: Senior/ Data Engineer

Job ID: 22392

Location: Digital Hub, SG

Description

About ST Engineering

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.

Work locations: Changi, Paya Lebar, Tengah