Senior Data Engineer – Data & Search (Azure/Databricks)

Binance

Adelaide

On-site

AUD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Employee Assistance Program
Social events
Professional development
Annual training allowance
Global technology initiatives

Job summary

Synechron is seeking a Senior Data Engineer to join the Adelaide team. You will design scalable data pipelines on Azure, Fabric and Databricks, optimise large datasets, and implement ETL/ELT processes using Python and SQL.

You will collaborate with cross‑functional teams and provide technical leadership while engaging with clients to translate business requirements into technical solutions. The role requires 5+ years in data engineering with a consulting background, strong cloud skills, data

Qualifications

  • 5+ years of Data Engineering experience with consulting background.
  • Experience with Azure, Databricks and Fabric.
  • ETL/ELT and cloud‑based data solutions expertise.
  • Python and SQL programming skills.
  • Strong client engagement and data solution delivery experience.
  • Knowledge of data modelling and Medallion Architecture.
  • Excellent problem solving and communication skills.

Responsibilities

  • Designing and building scalable pipelines using Azure, Fabric and Databricks.
  • Optimize performance and scalability of data workflows.
  • Leverage Python and SQL for data extraction and transformation.
  • Collaborate with cross‑functional teams to drive data strategy.
  • Provide technical leadership and mentor junior engineers.
  • Engage with clients, translating business needs into technical solutions.

Skills

Azure
Databricks
Fabric
Python
SQL
ETL/ELT
Cloud architectures
Medallion Architecture
Client engagement
Data modelling

Education

Relevant tertiary qualifications

Tools

Power BI
Tableau
Azure Data Studio

Job description

Synechron is seeking a Senior Data Engineer to join the Adelaide team. You will design scalable data pipelines on Azure, Fabric and Databricks, optimise large datasets, and implement ETL/ELT processes using Python and SQL.

You will collaborate with cross‑functional teams and provide technical leadership while engaging with clients to translate business requirements into technical solutions. The role requires 5+ years in data engineering with a consulting background, strong cloud skills, data

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