Overview
The Data Engineering Manager
will establish and scale the Data Engineering function, ensuring the performance, reliability, and scalability of Dabble's real-time data platform. This role combines strategic leadership, platform architecture, and hands-on engineering to deliver a modern data foundation that supports high-impact business needs across analytics, machine learning, and operations.
The Data Engineering Manager will act as a primary advocate for data platform excellence, driving improvements in ingestion frameworks, transformation pipelines, data governance, and cross-functional collaboration to enable trusted, timely, and actionable data across the organisation.
This role is open to all locations in Australia, with Melbourne-based candidates potentially preferred. Dabble maintains office hubs in Darwin, Melbourne, Brisbane, Sydney, Adelaide, and Albury. While we support remote-friendly work, we encourage our people to collaborate across the national office network.
Responsibilities
Lead the design and delivery of a modern, scalable data platform that meets the analytical, operational, and machine learning needs of the business
Evaluate, recommend, and implement a fit-for-purpose technology stack that balances performance, flexibility, and cost-efficiency
Establish reliable ingestion and transformation frameworks to integrate internal and external data sources at scale
Lead schema evolution strategies and data validation processes to minimise disruptions from upstream changes
Drive continuous improvement in platform reliability, data pipeline performance, and job orchestration
Implement monitoring, alerting, and feedback loops to proactively identify issues and support root cause resolution
Design reusable data frameworks and templates for ingestion, transformation, and observability
Monitor and optimise platform performance and usage to ensure efficient resource consumption and scalability
Provide input into data platform budgeting and vendor evaluation, aligning technology decisions with commercial goals
Work closely with Product, BI, Quant, and ML teams to ensure the data platform aligns with business priorities
Act as a senior leader within the broader technology organisation, representing Data Engineering in cross-functional planning and delivery
Promote transparency, documentation, and knowledge sharing across teams
Skills & Qualifications
Experience designing and scaling modern data platforms in cloud environments (e.g., AWS, GCP, Azure), with emphasis on performance, flexibility, and cost-efficiency
Strong proficiency in data engineering languages and frameworks (e.g., SQL, Python, Spark), with ability to mentor engineers
Solid understanding of batch and streaming architectures and experience building reliable data ingestion pipelines across structured and semi-structured sources
Familiarity with data tooling ecosystems including data lakes, lakehouses, transformation frameworks (e.g., dbt), and orchestration systems
Knowledge of data governance, access control, and compliance fundamentals (e.g., GDPR, PCI DSS) in collaboration with Security and Cloud teams
Familiarity with DevOps workflows and CI/CD practices as they apply to data products, including integration with Cloud-managed infrastructure
Ability to drive high-impact platform decisions by balancing performance, cost, and business needs
Strong attention to detail and a commitment to building reliable, maintainable systems
Ability to manage multiple priorities in a fast-paced, high-growth environment with a bias toward delivery
Experience working in or adjacent to high-frequency, real-time environments (e.g., trading, wagering, financial services)
Establish SLAs for data freshness, latency, and uptime across critical datasets and pipelines
Implement observability frameworks (quality checks, lineage, logging) to proactively detect and resolve data issues
Are you a Dabbler?
A Dabbler's attitude is paramount—the right person will learn quickly and adapt to skill gaps. A Dabbler is a team player, with a willingness to share with and learn from others. Being a remote-first workplace, collaborative working styles are crucial to empower and grow each individual (we prefer openness via public channels to problem solve on Slack).
A Dabbler uses autonomy to contribute to the Dabble community. We value respect for peers; there is no such thing as a bad idea. We encourage you to think differently, be brave, and strive to raise the bar. Dabble embraces empowerment of all people at any level of seniority and experience to own their work and contribute openly.
We are committed to prioritising well-being and creating a safe environment where individuals feel comfortable discussing their wellbeing and accessing resources when necessary.
Remuneration
The advertised salary for this position is $190,000 - $210,000 + Super + Benefits with room to be flexible.
Seniority level
Not Applicable
Employment type
Other
Job function
Engineering and Information Technology
Industries
Entertainment Providers
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