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!
 

This role focuses on contributing to the cross-functional engineering teams within the Wealth business unit. The primary responsibilities involve technical development, ensuring the quality of data solutions, and collaborating with team members. 

As part of the engineering team, you will work with engineering team leads, solution architects, software engineers, quality engineers, and product members to contribute to the design, development, delivery, and operation of UK Wealth data products. 

We promote a culture of continuous improvement, actively encouraging and supporting your personal and professional growth. As a member of our collaborative team, you'll have the opportunity to learn from your colleagues and contribute your unique skills and insights. 

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

• Data Architecture and Design Contributions: Actively participate in the design and evolution of data architectures, ensuring data solutions meet current business needs and are scalable for future data growth and advancements. 

• Data Pipeline Development and Support: Provide technical expertise in building, maintaining, and optimising data pipelines for efficient data extraction, transformation, and loading (ETL/ELT). Troubleshoot data-related issues, ensuring robust and reliable data flow and availability. 

• Data Collaboration and Best Practices: Work closely with software engineers, quality engineers, and product members to align on data requirements, contribute to data modelling, and promote best practices for data management, quality, and governance within Iress data products. 

What you will bring:

• Data Architecture Principles: Data lakes, data warehouses, ETL/ELT processes (knowledge Debezium advantageous), data modelling, and data governance. 

• Programming Languages: Python (for data manipulation, analysis, and scripting), SQL (for database interaction and data querying), Pyspark, Kafka and potentially Java or Scala for big data processing.

• Database Technologies: Experience with relational databases like MS SQL Server and PostgreSQL, as well as NoSQL databases (e.g. DynamoDB). 

• Data Intelligence Platforms: Working knowledge of enterprise DI platforms (Databricks advantageous), including Data ingestion, streaming, transformation, data integration patterns and tools. 

• Data Integration and Pipelines: Building, maintaining, and optimising data pipelines using tools and frameworks designed for efficient data movement and transformation. 

• Cloud Data Platforms: Familiarity with cloud services for data engineering, such as AWS (e.g., S3, Redshift, Glue). 

• Data Testing and Quality: Implementing data quality checks, data validation, and unit testing for data pipelines to ensure data accuracy and reliability. 

• Scripting and Automation: Using Bash, PowerShell, or Python scripts to automate data-related tasks and workflows. 

• Version Control: Proficient with Git and GitHub for managing code and data-related configurations. 

• Build and CI/CD for Data: Understanding and applying CI/CD principles for data pipelines and deployments, including familiarity with tools like Jenkins, GitLab CI, or similar platforms. 

• Data Security: Awareness of data security practices, including access control, data encryption, and compliance with data privacy regulations. 

• Data for AI products/solution: Knowledge of the use of AI in the context of data. Practical experience of AI and AI tooling is beneficial but not required. 

Why work with us?
 

• 8 paid days per year to extend your weekends + 25 days annual leave

• State-of-the-art offices

• Free on-site gym in our Cheltenham office open 24/7

• New Short-Term Incentive and Recognition program

• Casual dress, flexible work policy

• Access to learning and development programs through Udemy

• 3 days’ leave per year for charity initiatives

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

• Life Insurance & Private Medical

• 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.

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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