Adactin, one of the fastest-growing companies in Australia and the APAC region, thrives on its solutions and services on INNOVATION. Our vision, combined with our experience in the market, has continuously allowed us to grow our expertise which is visible in our comprehensive portfolio.

We innovate, strategize, consult and operate for organizations to achieve their business objectives through an array of our services in Software development, Testing services, Digital transformation, Enterprise solutions, and quality ICT training.

Adactin is always committed to delivering with conviction and belief in our people. Seize the opportunity and advance your career in a dynamic environment to augment your growth and success.

– Data Engineering / Data Architect / Data Enabler

1. Data Engineer / Data Analyst – Databricks & Mainframe Data Migration

Key Responsibilities

- Design, develop and maintain data pipelines using Databricks, SQL and Python.
- Support mainframe data migration, including data extraction, transformation, validation and reconciliation.
- Analyse legacy data structures and map mainframe data to modern data platforms.
- Perform data quality checks, troubleshooting and performance optimisation.
- Collaborate with business analysts, architects and technical teams to deliver data migration solutions.
- Develop technical documentation, data mappings and migration reports.

Key Skills

- Databricks, Apache Spark, Python and SQL.
- Mainframe data migration and legacy data systems.
- ETL/ELT processes and data integration.
- Data profiling, validation and reconciliation.
- Cloud data platforms and data warehousing.

2. Data Architect





Key Responsibilities

- Design and maintain enterprise data architectures, data models and integration patterns.
- Define data migration strategies from legacy mainframe systems to up-to-date data platforms.
- Establish data standards, governance, security and quality frameworks.
- Provide architectural guidance for Databricks-based data engineering solutions.
- Assess existing data environments and recommend modernisation approaches.
- Collaborate with stakeholders to ensure scalable, secure and reliable data solutions.

Key Skills

- Enterprise data architecture and data modelling.
- Databricks and modern data platforms.
- Mainframe modernisation and data migration architecture.
- Data integration, governance and data quality.
- Cloud architecture, security and solution design.

3. Data Enabler – Test Data & Tooling

Key Responsibilities

- Develop and maintain test data solutions to support application testing and data migration initiatives.
- Build and maintain tools to automate test data creation, provisioning, masking and validation.
- Support test data management across development, testing and production-like environments.
- Collaborate with QA, data engineering and development teams to improve testing efficiency.
- Automate data comparison, reconciliation and quality checks.
- Ensure test data complies with privacy, security and data governance requirements.

Key Skills

- Test Data Management (TDM) and test data provisioning.
- SQL, Python and scripting.
- Test automation and data validation tools.
- Data masking, anonymisation and synthetic data generation.

📌 Senior Data Engineer - Databricks AND Azure (Sydney)
🏢 Adactin
📍 Sydney