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Get AI-powered advice on this job and more exclusive features.LMG is the largest and most progressive aggregator group across Australia and New Zealand supporting a community of over 6,000 brokers and advisers. Proudly family-owned and led, LMG supports businesses operating under their own brand, or the Loan Market brand, and partners with over 70 banks and lenders. The business has grown rapidly, with LMG brokers in both countries helping over 330,000 customers settle over $126 billion worth of loans in FY24.Were not a conventional company with a lot of rules and hierarchy, and we dont intend to become one. We live our values in everything we do: Compassion for our customers, doing what we say, being curious and thinking openly, going further together, and staying hungry but humble. Were a large company with a start-up attitude. Our success is driven by hiring outstanding people and accepting nothing less than being the best at what we do.About the role:As a senior data engineer in the Data and Analytics team, you will take ownership of the design and build of end-to-end pipelines and workflows to ingest data from our CRM, revenue systems, and a large number of external data sources to power timely reporting and machine learning models. You will also develop integration pipes to embed AI models into production systems. You will be expected to mentor and support other team members, providing technical guidance and expertise.You will autonomously deliver ongoing business impact across the data engineering practice at LMG with cross-functional squads. You will have the opportunity to shape the foundations of data and ML frameworks at LMG to deliver data-driven decisions and AI solutions at scale to our customers. You will be working alongside talented data engineers, data scientists, and analysts in a collaborative team environment to deliver innovative solutions.This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne, Brisbane or Perth.Key responsibilities:Lead the design, development, and maintenance of scalable end-to-end data pipelines and MLOps frameworks.Implement monitoring and alerting solutions for data quality, pipeline health, and performance metrics.Develop and manage CICD processes for data pipelines and machine learning models.Collaborate with data scientists and analysts to understand data requirements and deliver solutions to drive value.Provide technical leadership, mentoring junior team members and guiding on model development and deployment.Act as a thought leader, communicating technical solutions to senior leadership and advocating for data engineering capabilities.Proactively identify and mitigate risks, ensuring data privacy and security throughout projects.To succeed in this role you will bring with you:Bachelor''s degree or higher qualification in engineering, technology or quantitative discipline5+ years experience in data engineering with in-depth knowledge of data warehousing, ETL processes and data integration techniques in cloud environments.Strong coding skills in python, shell scripting and SQLHands on experience in designing and implementing dbt pipelines, setting up monitoring and troubleshooting issuesExperience in setting up bespoke workflows and orchestration using cloud technologiesProficiency in GCP products (BigQuery, Cloud Functions, Compute Engine, Cloud Storage and Cloud Scheduler) is an added advantageExperience in CICD tools like Github or GitLab and sound understanding of DevOps best practicesExperience working with technical and non-technical stakeholders to gather requirements and implement solutionsFlexibility & BalanceHybrid & Flexible Working6 Me Days: Extra leave to prioritise personal time.Religious & Cultural Swap Leave: Trade a public holiday for one thats meaningful to you.Extra Annual Leave: Need more time off? Purchase additional leave to recharge.Family & Wellbeing16 Weeks Paid Parental Leave: Plus up to 52 weeks of paid superannuation.Paid Fertility Treatment Leave: Support when navigating your fertility journey.12 Days Personal Leave: Time off when life happens.Wellbeing Support: Access to EAP for personal, financial, and career advice.Growth & DevelopmentPaid Study Leave: Support for your studies.L&D Programs: Grow your skillset and advance your career with tailored learning programs.Accelerate Program: Development opportunities for high performers.CommunityLMG Share Tomorrow Foundation: Earn volunteer donation rewards and company donation matching.Paid Volunteer Day: Volunteer with paid time offAt LMG, we know that diversity and inclusion are key to our success. We''re dedicated to building a workplace where everyone feels valued, respected, and supportedno matter their race, gender identity, sexual orientation, religion, age, or any other part of who they are. We understand that diverse perspectives fuel innovation and drive business growth. As an inclusive employer, we foster a culture where everyone has the opportunity to thrive and show up as their authentic selves every day.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information Technology #J-18808-Ljbffr