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Data Engineer - Job Opportunity at Iress Limited

Sydney, Australia
Full-time
Mid-level to Senior
Posted: April 1, 2025
Hybrid
AUD 130,000 - 180,000 based on Sydney market rates for financial technology sector

Benefits

Enhanced Work-Life Balance: 8 additional paid weekend extension days annually
Progressive Parental Support: Up to 26 weeks paid primary carer leave
Comprehensive Healthcare: Discounted premium health insurance coverage
Professional Development: LinkedIn learning programs access
Family-Focused: 8.5 days school transition leave
Social Impact: 3 days paid charity leave annually
Flexible Working: Hybrid work arrangement
Referral Program: Competitive cash bonuses for successful referrals

Key Responsibilities

Strategic Data Architecture: Design and implement enterprise-scale data pipelines supporting business transformation
Cross-functional Leadership: Drive collaboration with analysts and stakeholders to deliver data-driven solutions
Technical Innovation: Develop and optimize data models and processing algorithms
Quality Assurance: Establish and maintain data validation frameworks and quality standards
Infrastructure Management: Monitor and maintain mission-critical data systems
Integration Architecture: Create unified data views across multiple enterprise systems

Requirements

Education

Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred

Experience

Proven experience as a Data Engineer or similar role

Required Skills

Python, Java, or Scala programming Apache Spark, Apache Flink, or Apache Beam PostgreSQL, MySQL MongoDB, Cassandra Snowflake, BigQuery Data modeling ETL processes Analytics and problem-solving Cross-functional collaboration
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Sauge AI Market Intelligence

Industry Trends

Financial services technology sector is experiencing rapid digital transformation, driving increased demand for data engineering expertise Growing emphasis on real-time data processing and analytics capabilities in financial platforms Shift towards cloud-native data architectures and distributed processing systems

Role Significance

Likely part of a 5-10 person data engineering team within a larger technology organization of 2,000+ employees
Mid to senior-level position with significant technical ownership and architectural decision-making authority

Key Projects

Enterprise data pipeline modernization Real-time financial data processing systems Cross-platform data integration initiatives Data quality and governance frameworks

Success Factors

Strong foundation in distributed systems and data architecture Ability to balance technical excellence with business requirements Experience with financial sector data compliance and governance Proven track record in performance optimization and scalability

Market Demand

High demand with strong growth trajectory due to financial sector digital transformation and increasing data infrastructure needs

Important Skills

Critical Skills

Data pipeline architecture and optimization experience for financial systems Distributed processing frameworks for large-scale data operations Data modeling and schema design for complex financial datasets

Beneficial Skills

Financial services domain knowledge Cloud platform expertise Real-time processing systems experience Data governance and compliance understanding

Unique Aspects

Opportunity to work on large-scale financial services platforms
Strong focus on employee well-being with industry-leading benefits
Global reach with cross-regional collaboration opportunities
Established company with startup-like transformation initiatives

Career Growth

2-3 years for advancement to team lead or architectural roles, depending on performance and organization growth

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Data Platform Lead Data Engineering Manager

Company Overview

Iress Limited

Established fintech leader with 30-year history serving global financial services sector

Major player in financial software with 10,000+ business clients and 500,000+ end users
Strong APAC presence with significant operations across multiple global markets
Progressive technology company culture with emphasis on work-life balance and professional development
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  • Critical success factors and key skills
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