Data Engineer

See yourself being part of a large, transformational change? This could be the role for you!

At Iress, we make things happen

We believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. More than 10,000 businesses and 500,000 people use our software, from the world’s most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia’s largest technology companies and employs more than 2,000 people across Australia, The United Kingdom, Africa, Canada, France, New Zealand and Asia.

Build your career at Iress!
 

We are seeking a talented and experienced Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our growing data needs. The Data Engineer will collaborate closely with cross-functional teams to ensure the efficient collection, processing, and analysis of large datasets, enabling data-driven decision-making across the organization. 

Some of the awesome things you’ll be involved with:

• Design and Development: Design, build, and maintain robust, scalable data pipelines and ETL processes to ingest, transform, and store large volumes of structured and unstructured data from diverse sources. 

• Data Modelling: Develop and implement data models and schema designs to support business requirements, ensuring data integrity, performance, and scalability. 

• Data Processing and Transformation: Implement data processing and transformation algorithms to clean, normalize, and enrich raw data for analysis and reporting purposes. 

• Data Integration: Integrate data from various internal and external sources, including databases, APIs, streaming platforms, and third party services, to provide a unified view of enterprise data. 

• Performance Optimisation: Identify and resolve performance bottlenecks in data pipelines and infrastructure, optimising data processing and query performance for maximum efficiency. 

• Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy, completeness, and reliability of data across different stages of the data pipeline. 

• Monitoring and Maintenance: Monitor the health and performance of data pipelines and infrastructure, proactively identifying and addressing issues to ensure uninterrupted data flow and availability. 

• Documentation and Best Practices: Document data engineering processes, standards, and best practices, and collaborate with team members to ensure adherence to industry-leading methodologies and standards. 

• Collaboration and Communication: Collaborate closely with data analysts, data scientists and other stakeholders to understand data requirements, define data solutions, and deliver actionable insights that drive business outcomes. 

 What you will bring:

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

• Proven experience as a Data Engineer or similar role, with a strong understanding of data engineering principles, methodologies, and best practices. 

• Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam. 

• Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and data warehousing technologies (e.g., Snowflake, BigQuery). 

• Solid understanding of data modelling concepts, data warehousing architectures, and ETL processes. 

• Strong analytical and problem-solving skills, with the ability to design and implement scalable data solutions to address complex business requirements. 

• Excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders. 

Why work with us?
 

• 8 additional paid days per year to extend your weekends

• Hybrid working  

• Generous cash bonus for every successful referral 

• Starting school leave - 8.5 days of leave to assist your children with the transition to school

• Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work

• 3 days’ paid leave per year to participate in charity initiatives

• Discounted health insurance premiums

• Access to learning and development programs through LinkedIn 

Iress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs and everyone’s uniqueness is valued and celebrated. 

Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status and age. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you! 

We’re also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace. 

For more information about what we do, our people and values, please visit our website - https://www.iress.com/join-us/careers/

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Employment TypeEmployee

Time TypeFull time