Senior Data Engineer / Data Lead

Sirius People; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Sirius People is seeking a Senior Data Engineer specialized in Microsoft Fabric to design and implement modern data solutions for clients across Australia. You will lead end-to-end data pipelines and mentor engineers in an Agile context.

The role focuses on data warehousing, lakehouse architectures, and analytics using Fabric components like Data Factory, Synapse, and Power BI. Strong Python, SQL, and Azure expertise are essential, with a collaborative culture and growth opportunities.

Qualifications

• 5+ years in data engineering roles.
• Hands-on Microsoft Fabric skills with Data Factory, Synapse, Power BI.
• Advanced Python and SQL proficiency.
• Azure data services experience including Synapse SQL and Spark.
• Familiarity with Agile/Scrum.

Responsibilities

• Architect end-to-end data pipelines and data warehousing solutions.
• Lead implementations of analytics solutions using Microsoft Fabric.
• Mentor junior engineers in an Agile environment.
• Drive data quality and monitoring frameworks.
• Collaborate with stakeholders to translate business requirements.

Skills

Data engineering

Python

PySpark

SQL

Power BI

Microsoft Fabric

Azure Synapse

Agile/Scrum

Databricks

Delta Lake

Generative AI/LLM

Tools

Data Factory

Synapse Analytics

Power BI

SQL

Databricks

Job description

Senior Data Engineer | Microsoft Fabric Specialist

Location: Sydney, NSW (Preferrable) but can be Melbourne, VIC based too.

Role Type: Full-time, Permanent role

We are representing a leading Australian specialist firm that delivers high-impact financial performance and data analytics solutions across the Asia-Pacific region. Our client is looking for a Senior Data Engineer to lead the charge in designing and implementing modern data solutions using Microsoft Fabric.

Opportunity

In this role, you will bridge the gap between complex business requirements and technical execution. You will architect end-to-end data pipelines, mentor junior engineers, and drive innovation within a highly collaborative Agile environment.

Key Responsibilities

• Architect & Design: Lead the implementation of scalable data warehousing, lakehouse, and analytics solutions using Microsoft Fabric.
• Develop Pipelines: Build and maintain robust data transformation processes using Python and PySpark.
• Data Quality: Design monitoring frameworks to ensure the highest standards of data accuracy and reliability.
• Automation & DevOps: Optimize existing pipelines and integrate CI/CD practices to streamline delivery.
• Mentorship: Act as a technical lead, guiding junior team members and contributing to strategic architectural decisions.

Technical Requirements

• Experience: 5+ years in Data Engineering roles.
• Microsoft Fabric Expertise: Deep hands-on experience with Data Factory, Synapse Analytics, and Power BI.
• Programming: Advanced Python skills (pandas, numpy, pyspark) and expert-level SQL.
• Azure Ecosystem: Proven experience with Azure Synapse Analytics, including SQL and Spark pools.
• Frameworks: Strong understanding of dimensional modeling and Agile/Scrum methodologies.
• Preferred: Knowledge of Databricks, Delta Lake, or Generative AI/LLM integration.

Why Join This Team?

Our client prides itself on a collegiate culture that balances professional excellence with an enjoyable, supportive work environment.

• Flexible Work: Enjoy flexible arrangements to maintain a healthy work-life balance.
• Professional Growth: Access to ongoing learning, development opportunities, and exposure to cutting-edge Microsoft technologies.
• Impact: Work on some of the largest and most successful IT projects in Australia for a diverse range of industry sectors.

Candidates from all backgrounds are welcome to apply too.

Please note Sydney and Melbourne-based candidates with full time work rights only will be considered for this role as it is a requirement for this position and no sponsorship is on offer.