SUMMARY STATEMENT
The Data Engineer works within a cross-functional project team and is responsible for automating and productizing advanced analytics pipelines. They will work with a variety of technologies, including Generative AI, and our proprietary big graph analysis framework.
WHAT YOU’LL DO
A Data Engineer’s responsibility is to implement and deploy data analysis pipelines at various clients of Lynx Analytics. 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 Lynx 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
ABOUT LYNX ANALYTICS
Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.
Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.
Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.
We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.
We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.