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Home/Careers/Data Engineer
EngineeringSingaporeFull-time

Data Engineer

Overview

Join our Data Engineering team to build the foundational data architectures that power our clients' AI ambitions.

What you'll do

01

Architect and build robust data pipelines and lakehouse solutions.

02

Develop real-time feature stores for low-latency ML applications.

03

Implement data governance and quality frameworks at scale.

04

Optimise data processing workflows for performance and cost.

05

Collaborate with AI engineers to ensure high-quality data availability.

Qualifications

Required

  • 3+ years of experience in data engineering.
  • Strong proficiency in SQL and Python/Scala.
  • Experience with Spark, dbt, and modern data stack tools.
  • Expertise in workflow orchestration (Airflow, Dagster).
  • Familiarity with cloud data warehouses (Snowflake, BigQuery, Databricks).

Nice to have

  • Experience with streaming data architectures (Kafka, Redpanda).
  • Knowledge of vector databases (Pinecone, Weaviate).
  • Background in financial services or healthcare data domains.

Our Hiring Process

Step 1

Initial Call

Meeting the team and discussing your data engineering experience.

Step 2

Data Challenge

Building a simple pipeline or solving a data modelling problem.

Step 3

Technical Deep Dive

Reviewing your challenge and discussing architecture patterns.

Step 4

Final Round

Conversations with our Chief Data Officer and project leads.

Interested in this role?

We're looking for rigorous thinkers who want to solve the most consequential problems in enterprise AI.

Apply Now

Work at TechShift

  • Competitive base + performance bonus
  • Flexible regional mobility (APAC)
  • Continuous learning & IP generation
  • Health & wellness coverage
  • Direct access to senior leadership

Not the right fit?

We are always looking for exceptional talent. If you don't see a role that matches your expertise, reach out to us directly.

Explore all open roles