Senior Manager, Data Engineering

vor 3 Wochen

Council of the City of Sydney, Österreich Mable Vollzeit

Overview This is the Senior Manager, Data Engineering role at Mable. You will own the 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 position where you will work with a team of 2, mentor in best practices, and manage key relationships with system owners and vendors. You will help shape how Mable and the broader Attain Group harness the power of data, setting vision, strategy, and priorities to turn complex data into meaningful insights and real-world impact. 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, evolving it to meet the needs of analytics, product, and operational teams. Design and build data pipelines that ingest, cleanse, transform, and model data from multiple systems for downstream use and visualization. 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, ensuring high data quality, security, lineage, and compliance. Manage the platform’s financial performance, optimize cost efficiency, and shape future investment decisions. Champion innovation by 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 leading and developing high-performing Data Engineering teams. Technical depth in ingesting, cleaning, transforming, and modeling data from batch and streaming sources for Analysts and Data Scientists. Exceptional communication skills to translate complex concepts into clear, actionable insights for non-technical stakeholders. Cloud expertise in developing, deploying, and monitoring modern, cloud-based data solutions. Strong data modelling mastery, including Dimensional Modelling and handling Slowly Changing Dimensions. Growth mindset, comfortable with ambiguity, pace, and scaling a high-growth business. Bonus points for Advanced education in computer science, information technology, or analytics Experience with Databricks and AWS Experience in Python, especially PySpark and Spark Streaming Experience using Git Benefits Power your career : Learn from industry experts, experienced leaders, and on-the-job opportunities. Parental leave : 14 weeks for primary carers and 6 weeks for secondary carers, plus superannuation. Flexible work : Hybrid workplace with time in the office and remote work. Flexi Leave Days : One extra paid leave day per quarter. Floating public holiday : Take a day off to suit your significant day. Reward and Recognition : Simple program to celebrate wins and great performance. Diversity and inclusion : We welcome all people and encourage Aboriginal and Torres Strait Islander people to apply. Location: Sydney, New South Wales, Australia #J-18808-Ljbffr

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