Insignia Financial24 jobs

GCP Data Engineer - Data Modelling

Mid levelSeniorFull-timeHybridMelbourne VIC, AustraliaPosted 4 days agoVerified 8 hours ago
Pending fitX of Y criteria met

About the job

Join the Insignia Financials Data Engineering team as a GCP Data Engineer/Modeller and embark on an exciting journey working with enterprise-wide data assets that drive analytics, reporting, and business decision-making. This job offers a fantastic opportunity to contribute to a state-of-the-art data platform on Google Cloud, utilizing BigQuery and paving the way for future innovations in machine learning and AI. The team thrives on collaboration and creativity, making it a great fit for those who enjoy solving complex data challenges.

Meet the team

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You'll be responsible for

🔍

Analysing complex source systems

Analyse complex source systems to understand data structures, semantics, and data quality characteristics
🗺️

Mapping source system data

Map source system data into enterprise and analytical data models to ensure consistency and usability
🏗️

Designing analytical data structures

Design, develop, and refine analytical data structures that support reporting, analytics, and integration requirements

Key criteria

📊

Data engineering experience

5+ years of experience in data engineering and transformation design.

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🗂️

Analytical data modelling knowledge

Strong understanding of data modelling concepts and frameworks.

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🔍

Complex data analysis skills

Proven ability to analyse complex source systems for data solutions.

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A meaningful career starts with a match

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5 criteria for this job
Data engineering experience
5+ years of experience in data engineering and transformation design.

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Analytical data modelling knowledge
Strong understanding of data modelling concepts and frameworks.

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Complex data analysis skills
Proven ability to analyse complex source systems for data solutions.

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Advanced SQL proficiency
Experience implementing complex SQL transformations in BigQuery.

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Data orchestration tools exposure
Familiarity with tools like Airflow or Composer for workflow management.

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