Senior / Analytics Engineer

Intro

This role sits at the intersection of Data Engineering and Data Science. You will design data models, schemas, and pipelines while developing and testing custom analytical logic and algorithms. Acting as a bridge between Product, backend engineering, and data teams, you will interpret complex datasets to drive commercial decisions

Core Responsibilities

Transform data by breaking down commercial goals from complex datasets.

Develop, test, and iterate on custom analytical logic and business-critical algorithms

Design end-to-end data models, schema design, data pipelines & quality boundaries.

Interpreting data in the context of enterprise client operations

Act as a bridge between Product Management, backend engineering and data teams

About You

You could be an Analytics Engineer, Data Engineer, Data Scientist, or Data Analyst

Analytical thinker who can validate algorithms & cross-check assumptions.

Comfortable working with dense, multi-dimensional numerical frameworks.

Degree in Mathematics, Statistics, Actuarial Science, Computer Science

Tech Stack

Python (programming and scripting).

SQL, database normalization, schema architecture & version control systems (Git)

Nice to have

Databricks and PySpark is preferred (can learn on the job)

Experience in a Product company, start up or commercial SaaS enterprise

What’s In It For You?

Collaborating directly with senior data leaders.

Influence multi-million-dollar operational decisions for major enterprises

Talented developers are empowered to make a direct impact.

Work Arrangement / Benefits

Hybrid with 3 days work from office

Bangsar South (Close to MRT / LRT)

Permanent role

Bonus + travel allowance + Medical