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Iress

Data Engineer

Posted 13 Hours Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
As a Data Engineer, you will develop robust data infrastructure, build production-ready data pipelines, and ensure data integrity and availability for product development.
The summary above was generated by AI
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!
 

The Data Platform Team is at the forefront of our data strategy, responsible for building and maintaining a robust and scalable infrastructure that enables Iress to build innovative data products. Our mission is to empower teams by providing them with the right tools, technologies, and data architecture necessary to build solutions for our customers.

As a Data Engineer, your primary responsibility will be to design, develop, and maintain robust data infrastructure and architecture to support the data ingestion from our core software products. You will play a crucial role in establishing the foundational data ingestion capability. You will work on building production-ready data pipelines that ingest key data sources into the Data Lake. This role is essential for enabling the development and scaling of new data products, ensuring the availability, integrity, and efficiency of data for product development.


Some of the awesome things you’ll be involved with:
  • Design and implement scalable data pipelines and ETL/ELT processes in a serverless data platform to ingest, transform, and store large volumes of structured and unstructured data.

  • Build production-ready data pipelines specifically for ingesting existing application data into the Data Lake.

  • Populate both the “Raw” and “Cleaned/Governed” layers of the data platform.

  • Ensure the reliability and performance of ETL workflows, troubleshooting and optimising as needed.

  • Support the operational readiness of the data platform for future product scale-up.

  • Contribute to maintaining high standards of data quality and integrity across the platform.

  • Enable the availability of data for high-value data products.


 
What you will bring:
  • High proficiency in Python for scripting and automation.

  • Strong proficiency in SQL, data modelling, and database management systems.

  • Experience designing and building data lakes and lakehouses using platforms like Databricks, Snowflake, or cloud-native services.

  • Experience with cloud technologies (AWS, Azure, GCP). Experience with AWS technologies is particularly relevant.

  • Understanding of CI/CD DevOps approach to implement data solutions.

  • Experience building/operating data extraction, ingestion, and processing systems.

  • Experience with data warehousing, and building data pipelines.

  • Strong analytical and problem-solving skills.

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

  • A desire to work in a collaborative, intellectually curious environment.

  • 3+ years of experience as a Data Engineer or in a similar role.

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/

#LI-Hybrid


Employment TypeEmployee

Time TypeFull time

Top Skills

AWS
Azure
Databricks
GCP
Python
Snowflake
SQL
HQ

Iress Melbourne, Victoria, AUS Office

Melbourne, Victoria, Australia

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