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

Binance; Adelaide; Vor Ort; AUD 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Employee Assistance Program

Social events

Professional development

Annual training allowance

Global technology initiatives

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Azure

Databricks

Fabric

Python

SQL

ETL/ELT

Cloud architectures

Medallion Architecture

Client engagement

Data modelling

Ausbildung

Relevant tertiary qualifications

Tools

Power BI

Tableau

Azure Data Studio

Jobbeschreibung

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