The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A predictive analytics company, established in 2010, specializes in leveraging graph analytics, artificial intelligence (AI), and machine learning to help businesses understand intricate connections within their data and extract valuable insights.
Data Engineer
WHAT YOU’LL DO
A Data Engineer’s responsibility is to implement and deploy data analysis pipelines at various clients. This includes participating in:
Understanding deeply the business problem that we are trying to solve by our analytical solutions
Through continuous consultations with employees of our client, discover the client’s existing data sources that are relevant to the problem we try to solve. This includes discussions with client’s IT teams, data owners, future business owners etc.
Working together with the client’s IT teams to define the technical architecture for the analytical solution that we are to deploy
Implement the data ingestion subsystem: This is the system responsible for moving all the necessary data sources to a single location where the actual analysis will happen
Implement the data analysis pipelines
Integrate the results into business UIs developed by the company or pre-existing client software systems
SKILLS AND EXPERIENCE
Skills You Should Have:
Python (pytest, pre-commit, venv, etc.)
Airflow, dbt, or other orchestration tool
Apache Spark, PostgreSQL, BigQuery, or other SQL/NoSQL engines
Docker, Docker Compose, Terraform or other IaC tools
Linux OS
One of major cloud platforms like GCP, AWS, or Azure
What You Might Also Work With:
CI/CD tools like GitHub Actions
FastAPI or Flask for service endpoints
Network setup (DNS, TLS, SSH, IP routes, etc.)
You Might Be a Fit If You:
Are a generalist who thrives in ambiguity and loves figuring things out.
Enjoy breaking down big, vague, and unfamiliar problems into concrete actions.
Value pragmatism over perfection: you look for MVPs, iterative delivery, and quick feedback loops.
View that DevOps isn’t someone else’s job—you’re comfortable setting up pipelines, fixing flaky builds, or tweaking a reverse proxy config.
Are comfortable switching hats quickly—from setting up data pipelines and crawling websites to tuning SQL queries or debugging backend servers.
Are passionate about learning and applying unfamiliar technologies and tools.
Have some prior experience in Generative AI (ideally RAG) and data science / analytics.
Get excited about opportunities to travel and work abroad!
Why You’ll Love It Here:
High ownership, zero micromanagement
Rapid learning opportunities and diverse challenges
Flexible work hours, remote-friendly setup
A collaborative, culture that values real outcomes
Flat organisational hierarchy with high visibility and accessibility to our leaders
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
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