Senior Manager, Data Engineering at Mable

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Data Engineering, Data Pipelines, Data Quality, Cloud Solutions, Data Modelling, Communication, Innovation, Collaboration, Governance, Mentoring, Cost Efficiency, Data Stewardship, Agility, Problem Solving, Technical Depth

Industry

Software Development

Description

HomeMade, Mable, Leap in! and Mable Direct are entities under the Attain Healthtech Group of companies. While our companies are diverse, three similarities bind us: 1. We exist to create lasting, positive change across the entire care and support sector - impacting more lives, elevating standards and shaping the future of care 2. We believe in technology as an enabler 3. We’re driven by helping customers attain better outcomes This position is part of the Mable team. About Mable Mable is one of Australia's leading and fastest-growing healthtech platforms. As a purpose-driven company, we are where thousands of people with disability and older Australians have connected with independent support workers of their choosing and on terms that suit them. With more than 25 million hours of support facilitated since 2014, it's no wonder we have been recognised on the AFR's Top 100, Deloitte Tech Fast 50, were previously awarded Australian Growth & Technology Growth Company of the Year. By working at Mable, you will join a high productivity and dynamic team environment, leading to meaningful change in Australia's care and support sectors. To find out more, visit https://mable.com.au/ About the role As the Senior Manager, Data Engineering at Mable, you’ll own our Data Intelligence Platform and lead a team of Data Engineers to build and maintain a scalable, accurate source of truth in Databricks. This is a hands-on leadership role where you’ll deliver alongside your team of 2, mentor them in best practices, and manage key relationships with system owners and vendors. You’ll play a pivotal role in shaping how Mable and the broader Attain Group harness the power of data. You’ll lead a talented Data Engineering team and set the vision, strategy, and priorities that turn complex data into meaningful insights and real-world impact. \n Key Responsibilities Lead and mentor a high-performing Data Engineering function inspiring excellence and setting clear direction across multiple squads. Own the strategy and roadmap for Mable’s Data Intelligence Platform, ensuring it evolves to meet the growing needs of our analytics, product, and operational teams. Design and build data pipelines that ingest, cleanse, transform, and model information from multiple systems for downstream use and visualisation. Partner with senior and executive leaders across Product, Engineering, Infrastructure, Business Systems, and Analytics to align data capabilities with business goals. Embed robust governance and stewardship, maintaining the highest standards of data quality, security, lineage, and compliance. Manage the platform’s financial performance, optimising cost efficiency and shaping future investment decisions. Champion innovation, exploring new tools and technologies to boost reliability, productivity, and business value. Foster a culture of curiosity and collaboration, empowering your team and peers to deliver impactful data solutions. Ensure compliance with privacy and security policies across all data activities. Skills and Experience Proven leadership experience - you’ve led and developed high-performing Data Engineering teams and love seeing your people grow. Technical depth - skilled in ingesting, cleaning, transforming, and modelling data from both batch and streaming sources for use by Analysts and Data Scientists. Exceptional communicator - able to translate complex technical concepts into clear, actionable insights for non-technical stakeholders. Cloud expertise - experienced in developing, deploying, and monitoring modern, cloud-based data solutions. Data modelling mastery - strong grasp of Dimensional Modelling and handling Slowly Changing Dimensions. Growth mindset - comfortable with ambiguity, pace, and the challenges that come with scaling a high-growth business. Bonus points for Advanced education in a relevant field such as computer science, information technology or analytics Experience working with Databricks and AWS Experience in Python; in particular PySpark and Spark Streaming Experience using GIT \n We’re powered by purpose We’re Switched On 💡 We know our customers because we listen and want to learn. We engage within the community and the sector and always act on insights. We’re Bold 📣 We’re ambitious and embrace creativity to solve challenges. We’re here to reshape the industry and back big ideas. We’re One 🤝 We channel our passion into a positive environment. We welcome diversity and collaborate to make the most of our different skills and ways of thinking. We’re Impactful 🌟 We work hard to deliver change. We innovate and move fast to make a difference in the sector and people’s lives. Our benefits Power your career ⚡️ Learn from industry experts, experienced leaders, and on-the-job opportunities. Access parental leave 👶 Get 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation. Work with flexibility 🏠 We’re a hybrid workplace, balancing time in the office with remote work. Flexi Leave Days 🌴 Get one extra paid leave day per quarter for what makes you happy. Take a floating public holiday 🫶🏾 Acknowledge a significant day your way with family and friends. Be rewarded 🏆 Celebrate wins and recognise great performance with an easy and accessible Reward and Recognition program. We are one As an organisation, we celebrate our diversity and welcome all people, regardless of their family responsibilities, ethnicity, faith, sexual orientation, or gender identity. Aboriginal and Torres Strait Islander people are encouraged to apply. If this role has stood out to you but you don’t feel like you ‘tick all the boxes,’ we strongly encourage you to apply nonetheless. We value diversity in experience, and you might just bring something we are looking for to our organisation!

Responsibilities

Lead and mentor a high-performing Data Engineering team while owning the strategy and roadmap for Mable’s Data Intelligence Platform. Design and build data pipelines, ensuring data quality and compliance while managing relationships with stakeholders.