11 Weeks Duration
1:6 Trainer Ratio
Paid From Day One
No Degree Needed
Our engineers keep data flowing across Singapore and the US
Aleph trains data engineers who build the pipelines, warehouses and data platforms organizations depend on, across both public and private sectors.
SGTech Workforce Transformation Award 2025
Every decision and every AI model runs on data
Organizations from banks to government agencies rely on data for every decision, and on clean, well-structured data for every AI system they build. That puts the engineers who build and run data platforms in high demand.
SingaporeS$8,721
Median gross monthly wage for a data engineer in Singapore. Data architects earn a median of S$10,500.
Source: Ministry of Manpower, Occupational Wage Survey 2025
Top 3
Data is one of the three fastest-growing tech roles in Singapore, alongside AI and cybersecurity, as tech employment reached 222,200 in 2025.
Source: IMDA Singapore Digital Economy Report, Oct 2026
United States$135,980
Median annual wage for database architects, the people who design how organizations store and structure their data.
Source: U.S. Bureau of Labor Statistics, May 2024
#1
Big data specialists are the fastest-growing job worldwide to 2030, with data warehousing specialists also in the top 15.
Source: World Economic Forum, Future of Jobs Report 2025
Learn data engineering by doing data engineering
With guidance from industry experts, you collect, prepare and analyse real datasets, uncover insights, and build data-driven solutions the way production teams do.
Build real pipelines
Hands-on projects from week one: ingest, clean and transform data, then load it where the business can use it.
Learn from industry experts
A 1:6 trainer-to-trainee ratio, plus career mentorship from practitioners.
Meet your future employers
Career sessions with placement partners to gain industry insight and build your network.
Keep your skills current
Return for one week of advanced training every six months as data platforms and tools evolve.
Roles built on data
The program prepares you for infrastructure and network operations roles at leading organizations in Singapore and the US.
Sophie Leow
Network Engineer
Build and ship AI-powered features, from choosing and fine-tuning models to running them in production.
Skills
Jun Cheng
Systems Engineer
Train, evaluate and improve models for classification, vision and prediction problems.
Skills
Luke Chen
Network Administrator
Run the infrastructure that serves models reliably, quickly and at scale.
Skills
Jabez Tay
Systems Administrator
Build the data foundations AI systems need to learn, measure and perform.
Skills
One foundation. Multiple paths forward.
Eleven weeks from first query
to production pipeline
Nine modules covering Python, cloud infrastructure, databases, analysis, pipelines, data architecture and governance, then a capstone.
Foundations
WEEK 1
WEEK 1
Python for Data Engineers
Infrastructure & Databases
WEEKS 2–4
WEEK 2
Infrastructure: AWS and Containerization
WEEK 3
Databases: SQL, PostgreSQL, MongoDB
WEEK 4
SQL Optimization and Indexing
Data Analysis
WEEK 5
WEEK 5
1D and 2D Data Analysis
Pipelines & Architecture
WEEKS 6–9
WEEKS 6–7
Data Pipelines: ETL and Workflow Management
WEEK 8
Data Lakes and Data Warehouse Design
WEEK 9
Graph Databases with Neo4j
Data Management
WEEK 10
WEEK 10
Managing Data Projects, Quality and Governance
Final Capstone
WEEK 11
WEEK 11
Capstone: design, build and present an end-to-end data pipeline
The platforms and tools data teams use every day
Get hands-on with the same databases, cloud services and pipeline tools used in production.
Programming
PythonCloud & infrastructure
AWSRelational databases
SQLPostgreSQLNoSQL & graph
MongoDBPipelines
Storage & architecture
Performance
Governance
Start where you are
Whether you are new to the field or switching careers, both tracks lead to a career in data engineering.
No experience required
New to Tech
Apply if you:
Are a recent graduate or new to IT; enjoy working with data and solving problems logically; want structured training from the ground up; are ready for a full-time career in tech.
In the cohort
Learn Python, SQL and data engineering from the fundamentals, then move into a full-time placement with ongoing mentorship.
Mid-career welcome
Career Switcher
Apply if you:
Are a working professional ready for a change; have some exposure to data, analytics, IT or software to build on; want to move into data engineering; want a paid, structured route into a new career.
In the cohort
Turn your existing experience into data engineering skills, then move into a placement with a partner organization.
Selection steps
Logical Aptitude Test
A pseudo-language developed by our trainers.
Analytical Test
Analyse data and reason your way to a conclusion.
Interview
We assess your aptitude and ability to apply concepts.
Both tracks require
Earn a paycheck while you learn the cloud
Many career transition courses leave you to find a job on your own after you finish. Here, you are a full-time employee from day one, and you train toward a placement with a partner organization.
Paid from day one
Monthly training allowance with CPF contributions.
No tuition
Training is fully sponsored, with a $0 programme fee.
Expert mentorship
Career guidance and professional development resources from practitioners.
Employee benefits
Insurance and full employee benefits from day one.
Full time placement
A three-year role with a partner organization, with a monthly salary.
Long term growth
One week of advanced training every six months during your placement.
Learn from engineers who build data platforms
Your trainers design and run data pipelines and platforms, and bring real production experience into every module. At a 1:6 ratio, you get close guidance while training alongside recent graduates and career switchers building the same skills.
Questions about becoming
a Data Engineer
Data Engineers build and maintain the systems that collect, store and move data. They design pipelines and warehouses, keep data clean, fast and well governed, and make it ready for analytics and AI.
No. You learn Python and SQL from the fundamentals in the first weeks of the program. What matters is strong aptitude and logical problem solving, which the selection tests assess.
Python, SQL, PostgreSQL, MongoDB, Neo4j and AWS with containers, plus ETL and workflow management, data lakes and warehouses, query optimization and indexing, and data quality and governance.
Yes. You are a full-time employee from day one, with a monthly training allowance with CPF contributions, insurance and full employee benefits. Training is fully sponsored, with a $0 programme fee.
Training is full-time for 11 weeks, 9am to 6pm, Monday to Friday.
No. The program is full-time from day one, and you are employed for the whole training period.
After the 11 weeks you move into a three-year role with a partner organization, with a monthly salary, and return for one week of advanced training every six months during your placement.
Recent graduates, people new to IT and working professionals switching careers. No degree or prior experience is required. The Singapore cohort is open to Singapore Citizens and PRs, and you need to commit full-time to the training and the three-year placement.
Selection has three steps: a logical aptitude test, an analytical test and an interview. The full process can take up to 1.5 months.
Your path starts here.
Applications are open for the December 2026 cohort. Seats are limited.
