Engineering Manager - Data [T500-20240]

Description

The purpose of the Commercial Data team in Advertising is to develop leading property and market data insights to power Real Commercial products. This squads sits in the Real Commercial tribe, the #1 place for commercial property and data in Australia.

• Contribute to the adoption of best practices, coding standards, and engineering principles across the team to ensure a high-quality and maintainable codebase.
• Advocate for code quality and security. Lead code reviews, unit testing, and deployments to ensure users trust the reliability and security of the code.
• Drive continuous improvement initiatives, such as automation, tooling enhancements, and process optimizations, to increase productivity and operational efficiency.
• Contribute to the design and architecture of scalable, efficient, and secure data solutions, considering long-term scalability and maintainability.
• End to end technical delivery of complex initiatives under our product management pipeline using agile methods and frameworks working with cross-disciplinary teams.
• Participate in technical discussions, code reviews, and architectural reviews to maintain code quality, identify improvement opportunities, and ensure adherence to standards.
• Collaborate with stakeholders to define data governance policies, data quality standards, and data management processes.
• Mentor and coach engineers, fostering their professional growth, assisting them in overcoming technical challenges and create a culture of quality and efficiency, leading to reduced time-to-market and enhanced product quality.
• Act as a strong advocate for data-driven decision-making, promoting a data-driven culture within the organization
• Drive delivery practices running agile scrum ceremonies and producing agile artefacts.
• Has led development teams using Agile, Lean and/or iterative releasing
• Establish effective ways of working within and across teams.
• Conduct performance analysis, optimization, and tuning of data processing workflows and systems to enhance efficiency and meet performance targets.
• Support the team’s iterations, scope, capacity, risks, issues, and timelines.
• Provide technical leadership and guidance to the team, serving as a subject matter expert in data engineering and related technologies.
• Provide guidance, support, and leadership to the team.
• Collaborate with the development team to implement shift-left testing practices, ensuring early and frequent testing throughout the development lifecycle.

Requirements

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience. We know diverse teams are critical to maintaining our success and driving new business opportunities. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

• Experience with Data analysis and documentation
• Possesses communication skills to collaborate effectively with global teams.
• Experience with Data pipelines
• Proven people leadership and mentoring experience
• An experienced developer (8-13 years’ experience), who thrives in a collaborative environment, enjoys being hands-on tackling technical challenges and leading teams to deliver innovative solutions.
• Experience with Data warehousing
• Ability to foster a culture of continuous learning and knowledge sharing.
• Experience developing products that scale and perform for millions of users (highly desirable)
• Knowledge of delivery approaches such as TDD, CI and infrastructure automation.
• Approaches problems with a solutions-oriented mindset and thrives in a fast-paced environment
• Experience Big Query / PostgreSQL / MSSQL, Python libraries (Pandas, Requests, JSON), Docker, Kafka, Linux shell scripting, Git / GitHub, AWS (S3, Lambda, IaC), Airflow, Interacting with REST APIs
• Experience with Data modelling
• Well-versed in SQL, Python, ETL / ELT pipelines
• Is committed to lifelong learning, staying updated on the latest web development trends to tackle complex challenges.
• Experience with Data consumption
• Demonstrates a commitment to code quality and a keen eye for detail.

Benefits

• Flexible leave options including parental leave, family care leave and celebration leave.
• A hybrid and flexible approach to working.
• Continuous learning and development opportunities to further your technical expertise. The values we live by: Our values are at the core of how we operate, treat each other, and make decisions. We believe that how we work is equally important as what we do to achieve our goals. This commitment is at the heart of everything we do, from the way we interact with colleagues to the way we serve our customers and communities.
• Meals provided on site in our office.
• Programs to support mental, emotional, financial and physical health & wellbeing.
• Transport options to help you get to and from work, including home pick-up and drop-off.
• Insurance for you and your immediate family members.

Training + Development

Interview process

Visa Sponsorship

Security clearance