Azure Data Engineer - Scalable Pipelines & Synapse

Ampstek

Sydney

On-site

AUD 170,000 - 210,000

Full time

43 hours ago
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Job summary

Ampstek is seeking an experienced Azure Data Engineer with 8–10 years of hands-on experience to design, develop, and support scalable data engineering solutions on Microsoft Azure. The role focuses on Synapse Analytics, Data Factory, SQL, PySpark, Python, and T‑SQL, with emphasis on ETL/ELT pipelines and data modelling.

The candidate will design and optimize data pipelines, build transformations, and implement scalable data solutions across large datasets and diverse sources.

Qualifications

  • 8–10 years of relevant Data Engineering experience.
  • Strong hands-on experience with Azure Synapse Analytics, ADF, and Azure SQL.
  • Proficient with PySpark and Python programming.
  • Advanced T-SQL / SQL skills.
  • Experience with ETL/ELT development and data pipelines.
  • Experience with data modelling and Star/Snowflake schemas.
  • Understanding of Big Data processing and distributed computing.
  • Design and implement scalable Azure data solutions.
  • Ability to work with large datasets and diverse data sources.
  • Strong problem-solving and collaboration skills.

Responsibilities

  • Design, develop, and maintain scalable data engineering solutions on Azure.
  • Develop and optimize ETL/ELT pipelines using Azure services.
  • Build data transformations with PySpark and Python.
  • Write and optimize complex T-SQL/SQL queries and stored procedures.
  • Develop and maintain Star/Snowflake data models.
  • Work with large datasets and distributed processing.
  • Integrate data from structured and unstructured sources.
  • Optimize pipelines for performance, scalability, and reliability.

Skills

Azure Synapse Analytics
Azure Data Factory
Azure SQL
PySpark
Python
T-SQL
ETL/ELT development
Star/Snowflake modelling
Big Data processing

Job description

Ampstek is seeking an experienced Azure Data Engineer with 8–10 years of hands-on experience to design, develop, and support scalable data engineering solutions on Microsoft Azure. The role focuses on Synapse Analytics, Data Factory, SQL, PySpark, Python, and T‑SQL, with emphasis on ETL/ELT pipelines and data modelling.

The candidate will design and optimize data pipelines, build transformations, and implement scalable data solutions across large datasets and diverse sources.

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