Senior Data Engineer

4 days ago


Melbourne, Victoria, Australia c06c6cf8-0de0-4295-b658-8b6a54461d8c Full time $120,000 - $180,000 per year

We're seeking an experienced Lead Data Engineer to drive delivery of a major enterprise-scale data migration and integration program within the Financial Services sector. This role blends deep hands-on SQL/SSIS expertise with modern cloud-enabled engineering practices and strong leadership across onshore and offshore teams. You will guide the end-to-end migration of critical business datasets during a large platform transition, ensuring high-quality, reliable, and secure delivery. This position suits someone who is technically strong, delivery-focused, and comfortable leading a distributed team while remaining hands-on.

Key Responsibilities

Technical Leadership & Delivery

Lead the full technical delivery of data migration and integration streams across onshore and offshore development teams, managing workload allocation, quality assurance, and progress tracking.

Act as the technical escalation point and SME for SQL Server, SSIS, and migration frameworks.

Design & Engineering

Design, build, and optimise ETL/ELT pipelines using SQL Server, SSIS, and (where relevant) cloud-based data services such as Azure Data Factory, Databricks, or AWS equivalents.

Oversee development, testing, and deployment of stored procedures, data mappings, and transformation logic.

Data Quality & Cutover

Drive all data validation, reconciliation, and performance tuning activities across the migration lifecycle.

Partner with project managers, testers, and architects to support dress rehearsals, mock cutovers, and production go-lives.

Team Leadership & Governance

Provide technical direction, mentoring, and code reviews to onshore and offshore engineers.

Maintain documentation, governance, and audit controls aligned with enterprise data standards.

Contribute to standardisation and continuous improvement of ETL patterns, data quality frameworks, and engineering best practice.

Skills & Experience

Core Requirements

8+ years in data engineering, ETL, or data migration roles, with proven leadership responsibilities.

Expert-level SQL Server (T-SQL, stored procedures, indexing, optimisation).

Strong hands-on SSIS experience for high-volume migration, integration, and automation use cases.

Proven track record delivering complex migration or system consolidation programs within enterprise or financial services environments.

Bonus (Highly Regarded)

Exposure to modern cloud data engineering tools, e.g.:

Azure Data Factory / Synapse

Databricks or Spark

AWS Redshift or Glue

Python for scripting or automation

Experience uplifting legacy SSIS/SQL workloads into cloud-based ETL/ELT frameworks.


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