Sydney B2B Saas Growth Lead — Data & Ai

Jenkin Beattie Pty Ltd; Sydney; In loco; AUD 140.000 - 220.000; Tempo pieno

Descrizione del lavoro

Jenkin Beattie Pty Ltd is expanding its Australian Data & AI capability in Sydney. We seek a Lead Data Engineer to design, build and operate reliable data platforms that turn complex data into actionable business insights.

You'll work across the data lifecycle from architecture to reporting, leveraging Python and SQL with Databricks, Snowflake or Microsoft Fabric. Collaborate with analysts, data scientists and engineers to deliver scalable, secure data solutions.

Competenze

• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• Hands-on experience with Databricks, Snowflake or Microsoft Fabric.

Mansioni

• Work with clients to translate business requirements into technical data solutions.
• Design, build and maintain data pipelines to ingest, transform, and deliver data from various sources.
• Develop data models, ontologies and semantic layers for analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support.
• Apply data quality controls and automated testing across the data lifecycle.
• Enforce role-based access control and security best practices for data platforms.

Conoscenze

Python

SQL

Databricks

Snowflake

Microsoft Fabric

Data pipelines

Data modelling

Security best practices

Strumenti

Databricks

Snowflake

Microsoft Fabric

Descrizione del lavoro

Job Description

Technology is our how, and people are our why. For 20-plus years we have paired world-class engineering with deep industry insight, helping global brands create intelligent digital experiences that drive meaningful change. Join us as we expand our Australian Data & AI capability and help clients unlock the full value of their data assets.

We’re looking for a Lead Data Engineer to help our clients design, build and operate reliable data platforms that turn complex data into useful business insights.

You’ll work across the data lifecycle, from architecture and source integration through to data pipelines, semantic models, visualisation and reporting. You’ll bring strong engineering skills in Python and SQL, alongside hands‑on experience with at least one of Databricks, Snowflake or Microsoft Fabric.

Working closely with clients, analysts, data scientists and fellow engineers, you’ll translate business requirements into secure, maintainable and scalable data solutions. You’ll also provide technical guidance, contribute to design decisions and help the team strengthen its engineering practices.

• Work directly with clients to translate business requirments into technical solutions; Providing guidance and contributing to design decisions.
• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers that establish consistent business definitions and support analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data services reliable.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.
• Apply data quality controls, automated testing and validation throughout the data lifecycle.
• Implement role‑based access control and follow security best practices for data platforms and integrations.
• Apply DevOps practices to data engineering, including version control, repository management, CI/CD and automated deployment.
• Build data visualisations and reports that make information clear and useful to business users.
• Document solutions, review code and share knowledge to support maintainable delivery and continuous improvement.

Hands‑on experience delivering production data solutions using one or more of Databricks, Snowflake or Microsoft Fabric.

Strong programming skills in Python and SQL.

Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.

A sound understanding of data architecture and modelling techniques, including analytical and dimensional modelling.