SQL Developer

We are currently seeking a highly skilled SQL Specialist / Data Engineer to join our growing Data & Analytics practice, working on complex migration, reconciliation, reporting, and automation initiatives across large enterprise environments.

This role is ideal for a hands‑on engineer who thrives in highly technical environments and enjoys solving complex data challenges through advanced SQL engineering, ETL development, and automation‑driven delivery.

What You’ll Be Doing:

• Design and develop complex SQL scripts, stored procedures, data models, and reconciliation logic across enterprise datasets
• Lead end‑to‑end data migration and reconciliation reporting activities for large‑scale transformation programs
• Build and optimise ETL pipelines using SSIS and/or Azure Data Factory (ADF)
• Develop scalable and automated data processing solutions to improve operational efficiency and reporting accuracy
• Build enterprise reporting dashboards and visualisations using Power BI
• Support testing activities including data migration testing, reconciliation validation, test data preparation, and reporting
• Collaborate with business stakeholders, delivery teams, and customers to ensure successful project outcomes
• Drive continuous improvement and automation opportunities across the data engineering lifecycle
• Contribute to overall project delivery, ensuring timelines and customer expectations are achieved

What We’re Looking For:

• 5+ years’ experience within Data Engineering, SQL Development, or Data Analytics environments
• Strong hands‑on experience with enterprise SQL platforms, preferably Snowflake, including data modelling, transformation, and analytics workloads
• Expert‑level SQL development and complex scripting capability
• Strong hands‑on experience building ETL solutions using SSIS and/or Azure Data Factory (ADF)
• Experience working within cloud‑based analytics and modern data platforms including Snowflake and Azure ecosystems
• Strong understanding of enterprise data migration and reconciliation processes
• Experience developing Power BI dashboards and reporting solutions
• Exposure to automation concepts and process optimisation initiatives
• Strong understanding of testing principles including reconciliation testing and data validation
• Excellent stakeholder communication and collaboration skills
• Ability to work across multiple streams within fast‑paced enterprise delivery programs

Highly Regarded:

• Exposure to DBT tools
• Experience within Banking, Wealth Management, or Superannuation environments
• Experience working within cloud‑based data platforms and modern analytics ecosystems

Why Join LTM?

• Work on enterprise‑scale transformation programs across Australia’s leading financial services organisations
• Join a rapidly growing Data & AI practice focused on modern engineering and automation
• Access leading technologies across Azure, Analytics, AI, and Enterprise Data platforms
• Collaborative, high‑performing environment with strong career growth opportunities
• Flexible hybrid working model across Sydney and Melbourne

LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender‑identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio‑economic status, disability or any other characteristic protected by applicable law.