Data Engineer

PALO IT; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global technology consultancy is seeking a Data Engineer in Singapore to build and operate enterprise-scale data pipelines using Microsoft Azure. You will work with critical business domains and be responsible for implementing data quality frameworks while collaborating with cross-functional teams. Strong Python and SQL skills are essential. The role offers international mobility and various internal development opportunities.

Benefits

Stimulating working environments

Unique career path

International mobility

Internal R&D projects

Personalized training

Qualifications

• 3-6 years of data engineering experience.
• Strong skills in Python and SQL.
• Experience with data quality rules and monitoring.

Responsibilities

• Build ingestion and transformation pipelines in Azure.
• Implement metadata-driven frameworks and monitoring dashboards.
• Enable self-service analytics and reporting.

Skills

Python

SQL

Data quality implementation

RBAC knowledge

Familiarity with Azure services

Tools

Azure Fabric

Databricks

AWS S3

GCP BigQuery

Job description

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We\'re proud to be a World Economic Forum New Champion, and a B Corp-certified company.

Overview

YOUR ROLE: We are seeking a Data Engineer to build and operate enterprise-scale data pipelines primarily on Microsoft Azure, with exposure to AWS and GCP as a plus. This role supports critical business domains including Financial Services, Healthcare, Maritime, and Retail.

Responsibilities

• Build ingestion and transformation pipelines in Azure Fabric / Synapse / Databricks.
• Implement metadata-driven frameworks, quality checks, and monitoring dashboards.
• Enable self-service analytics and reporting pipelines.
• Collaborate with cross-functional teams to ensure secure, governed, and performant pipelines.

Must Have Experience

• 3–6 years of hands-on data engineering experience.
• Strong Python and SQL skills.
• Experience implementing data quality rules and monitoring.
• Familiarity with RBAC, Purview (governance & lineage).

Good to Have

• AWS services: S3, Glue, Lambda.
• GCP services: BigQuery, Dataflow.
• Experience with real-time streaming (Event Hub, Kafka, Pub/Sub).

More About Palo IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to attain 50% of revenue from projects with a positive impact, train 100% of our workforce on impact, achieve B Corp certification among all our offices across the globe, and continuously measure & improve employee happiness.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT. Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, including setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.