Job Description
As an Associate Data Engineer at Cotality, you will develop scalable data solutions, leverage modern cloud technologies, and ensure robust data pipelines that meet business and strategic requirements.
What You Will Be Doing
* Develop data engineering solutions using Python and SQL for large, complex datasets
* Build modern data platforms across GCP and AWS using native cloud services and open-source tools (BigQuery, S3, GCS, Airflow, Lambda)
* Design and implement high-throughput, low-latency event-driven data pipelines and ETLs using AWS and SQL tools (DynamoDB, Lambda, API Gateway, SQS, SNS, Athena, Microsoft SQL Server, SSIS)
* Deliver technical solutions aligned with business, non-functional, and strategic requirements
* Build deep subject matter expertise across multiple data domains
* Support, extend, and optimize existing data solutions
* Create and maintain continuous delivery pipelines using current practices and tooling
* Ensure systems align with Cotality's overall technology strategy
* Maintain coherent and up-to-date documentation of data processes and assets
* Work effectively within an agile team environment to deliver robust, scalable solutions
* Collaborate with cross-functional teams to execute data strategy
* Comply with Cotality's WHS obligations and actively participate in safety training and frameworks
Job Qualifications
What You Will Bring: Essential:
* Experience with cloud technologies (GCP preferred; AWS or GCP required)
* Familiarity with streaming technologies (Kafka, SNS, SQS)
* Exposure to AI fundamentals
* Proficiency in at least one programming language: Python, Java, NodeJS, JavaScript, or C#
* Understanding of cloud concepts and architectures
* Experience in data pipeline/ETL/orchestration development
* Ability to reverse-engineer complex data solutions
* Knowledge of structured, semi-structured, and unstructured data
* Experience working collaboratively in an agile environment (Atlassian tools)
* Familiarity with relational databases (PostgreSQL preferred)
* Proficiency with source code management tools (Git)
* Knowledge of monitoring tools
Preferred:
* Conceptual, logical, and physical dimensional data modeling experience
* Experience building high-performance data solutions in enterprise environments
Why Join Cotality?
* Hybrid working model provides flexibility across Australia and New Zealand
* 10 half days of Wellbeing leave each year and access to an Employee Assistance Program
* $600 AUD annual wellbeing allowance for gym memberships, wellness apps, ergonomic gear and more
* Generous parental leave offering and $750 AUD in Baby Bucks
* Free subscription to the Calm app and other mindfulness tools, online health and nutrition courses
* Complimentary access to Australia's most comprehensive property research platforms including RP Data and exclusive employee-only market updates
* Two community and volunteer leave days each year to support meaningful causes and our charity partners
Cotality's Diversity Commitment
Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone's unique contributions, experiences, and values. We offer an empowered work environment that encourages creativity, initiative, and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Equal Opportunity Employer Statement
Cotality is proud to be an Equal Opportunity Employer, committed to fostering a diverse, inclusive, and respectful workplace across Australia and New Zealand. We recruit, hire, train, and promote individuals based on merit, qualifications, and business needs, without regard to race, ethnicity, colour, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, marital or family status, disability, or any other characteristic protected by applicable laws. We are committed to providing equal employment opportunities and maintaining a drug-free workplace free from discrimination, harassment, and bullying.
Please apply on our website for consideration.
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