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Recently postedFull timeTechnology

SENIOR DATA ENGINEER

Sirius.Sydney, Sydney🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationSydney, Sydney, Australia
SQLApache SparkAWSETLPythonRedshiftdbtPower BI

Job description

SENIOR DATA ENGINEER AWS, PYSPARK, PYTHON, DBT 12-MONTH CONTRACT (EXTENDABLE) SYDNEY 2 DAYS ONSITE

Sirius Technology is working with an end-user operating across research, development and marketing services. They are looking for a Senior Data Engineer to design, build and maintain data pipelines and integration solutions across their modern AWS-based data platform.

You will play a key role in ensuring data is reliable, accessible and well-structured to support analytics, API integrations and AI initiatives.

Responsibilities
  • Design, build and maintain scalable data pipelines and integration solutions across the AWS data platform.
  • Develop and support ETL/ELT processes using AWS Glue, PySpark, Lambda and dbt.
  • Design and optimise data models within Redshift to support reporting, analytics and wider business requirements.
  • Lead the ingestion and integration of data from databases, APIs, files and event-driven sources.
  • Monitor, troubleshoot and optimise data pipelines to ensure data quality, reliability and performance.
  • Implement and maintain metadata, data lineage and governance practices through DataHub and related tools.
Skills
  • Extensive experience designing, building and supporting AWS-based data platforms.
  • Strong hands-on experience with AWS Glue, PySpark, Lambda, ECS/Fargate, Redshift and S3.
  • Advanced SQL and Python development skills and Power BI.
  • Experience with dbt, data modelling and ETL/ELT pipeline development.
  • Experience building data ingestion, integration and API-based solutions at scale.
  • Comfortable using AI-assisted development tools, with an interest in applying AI within data engineering.

Applicants must be an Australian Citizen or Permanent Resident.

Many thanks, Jake Johal

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