Senior Data Engineer – Training & Growth Path

Avinity Analytics Pte. Ltd.; Petaling Jaya; On-site; MYR 80,000 - 140,000; Full time

Benefits offered by this job

Bonuses

ESOP

Performance benefits

Job summary

Avinity Analytics Pte. Ltd. is hiring a Data Engineer to join a data consultancy that builds end-to-end data solutions for mid-size to enterprise clients. You will progress through learning tracks in data development while delivering data projects that span analytics, automation, and ML initiatives.

The role emphasizes learning, collaboration, and applying latest data technologies to solve real business challenges in a flexible, growth-oriented environment.

Qualifications

• Advanced SQL knowledge with relational databases and query optimization.
• Experience with MSSQL, MySQL, PostgreSQL, and MongoDB.
• Experience building data transformation, structures, metadata, and workflows.
• Experience extracting value from large disconnected datasets.
• Knowledge of message queuing, streaming, and scalable big data stores.
• Proven ability to work in cross-functional teams and manage projects.
• Familiarity with Airflow, dbt, and other data orchestration tools.
• Proficiency in Python or R.

Responsibilities

• Create and maintain data pipeline architecture using Airflow and dbt.
• Wrangle large, complex datasets to meet business requirements.
• Automate processes and redesign infrastructure for scale.
• Build data infrastructure for ETL across diverse sources (SQL, cloud).
• Develop analytics models using the data pipeline to inform metrics.
• Collaborate with Executives, Product, Data and Design teams for data needs.

Skills

SQL

Analytics

Cross-functional collaboration

Python

R

Data modeling

Tools

Airflow

dbt

Luigi

Hadoop

Spark

Kafka

Snowflake

BigQuery

Job description

Avinity Analytics Pte. Ltd. is hiring a Data Engineer to join a data consultancy that builds end-to-end data solutions for mid-size to enterprise clients. You will progress through learning tracks in data development while delivering data projects that span analytics, automation, and ML initiatives.

The role emphasizes learning, collaboration, and applying latest data technologies to solve real business challenges in a flexible, growth-oriented environment.