Contract Data Engineer: Azure Databricks Medallion Pipelines

SSP Asia Pacific; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

SSP Asia Pacific is seeking a hands-on Data Engineer on a contract basis to build scalable cloud pipelines and maintain Medallion architecture bronze and silver layers for BI initiatives using Power BI and Sigma.

You will join a lean team, work with the Lead Data Engineer and Analytics Engineers to ensure data quality, troubleshooting, and ad-hoc data support across the data platform.

Qualifications

• 2–4 years hands-on data engineering experience building production pipelines.
• Strong knowledge of Azure Databricks, PySpark and Spark SQL.
• Experience implementing Bronze and Silver layers in a Medallion architecture.
• Advanced SQL with complex transforms and window functions.
• Experience with data testing, QA practices and automated validation.
• Familiarity with Power BI or Sigma for reporting.
• Git, version control and CI/CD best practices.

Responsibilities

• Design, develop, and deploy robust ETL/ELT pipelines in Azure Databricks.
• Build Bronze and Silver data layers within Medallion architecture.
• Implement automated data quality checks and testing frameworks.
• Partner with Analytics Engineers to deliver trusted datasets.
• Monitor and optimize Spark/PySpark workflows and legacy pipelines.
• Support data requests and collaborate on Power BI/Sigma models.

Skills

Azure Databricks

PySpark

Spark SQL

Medallion architecture

SQL

Data testing

QA practices

Power BI

Sigma

Git

CI/CD

Tools

dbt

Apache Airflow

Azure Data Lake Storage

Job description

SSP Asia Pacific is seeking a hands-on Data Engineer on a contract basis to build scalable cloud pipelines and maintain Medallion architecture bronze and silver layers for BI initiatives using Power BI and Sigma.

You will join a lean team, work with the Lead Data Engineer and Analytics Engineers to ensure data quality, troubleshooting, and ad-hoc data support across the data platform.