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Senior/ Data Engineer

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Design, develop and maintain data models, ETL processes, warehouses and pipelines

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

  • Implement data security and governance standards in solutions

  • Drive data quality assurance practices

  • Support data work for pre-sales, proposals and post-sales customers

From the employer’s posting
Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions
Define, monitor and report SLAs for data pipelines and data products
Understand data security and governance standards or requirements to implement solutions
Drive/execute data quality assurance practices
Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

What you’ll bring

All qualifications

Core experience

  • At least 3 years building and optimising data pipelines with DI/ETL tools
  • Experience with big data technologies such as Spark, Hadoop or Hive
  • Skills in data wrangling, data visualisation, DBMS, SQL and Python
Qualification wording
Shall have at least three (3) years' experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (Informatica, Talend etc).
big data technologies (e.g., Sparks, Hadoop, Hive)
Shall have the following skillsets: Data Wrangling, Data Visualization, DBMS, SQL, Python

About ST Engineering

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services.

In the employer’s words · Read in context

Apply at ST Engineering

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 11,069 similar postings that came down. Coming down is not always a hire.

ST Engineering is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Docker
  • Hadoop
  • Hive
  • Kubernetes
  • PostgreSQL
  • Power BI
Where the posting names them
- 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
- 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
- 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.

Your next step

Complete your application on careers.stengg.com. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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

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Singapore, SG

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