Staff Data Engineer

Join to apply for the Staff Data Engineer role at Easygo Join to apply for the Staff Data Engineer role at Easygo Get AI-powered advice on this job and more exclusive features. You’ll be joining the Data Engineering team on an exciting mission to build a top-tier data platform that powers everything we do. We manage data from our in-house products like Stake and Kick, as well as third-party tools and services, centralising it and ensuring it’s reliable, scalable, and ready to drive smarter decisions across the business. We’re focused on advanced data tools and services that truly make a difference. Our goal is to help teams unlock the full potential of data, empowering them to create impactful outcomes for our customers and the business. If you’re someone who loves tackling large-scale , greenfield solutions and shaping the future of data, you’ll fit right in Key Responsibilities: Architect, design, and optimise scalable ETL pipelines using AWS Glue, orchestrating complex workflows with Airflow and enabling efficient data processing from multiple sources . Lead the development of secure, scalable, and cost-efficient data infrastructure using AWS services and Terraform, ensuring best practices in infrastructure automation. Collaborate with stakeholders to define and drive strategic data initiatives, including data lakehouse architecture, real-time data processing , and self service analytics enablement . Own and enhance observability practices, implementing robust monitoring, alerting, and logging systems to minimise downtime and optimise performance. Develop and enforce automated data governance strategies , including data lineage tracking, access control, masking, and encryption, ensuring compliance with GDPR and industry regulations. Develop and execute automated data governance processes to ensure compliance with data lineage, classification, access control, GDPR, and other regulatory standards. This includes masking, encryption, and policy enforcement to protect sensitive data, especially in regulated markets. Architect and optimise data pipelines for Change Data Capture (CDC), reconciliation workflows, and reliability enhancements. Drive improvements in engineering best practices, including code quality, system design, documentation, and operational efficiency to foster team efficiency and high-quality outcomes with measurable business values. Identify opportunities and implement innovative solutions to enhance data platform capabilities, proactively solving performance bottlenecks and improving data reliability. Perform advanced code reviews, mentor engineers and foster a collaborative, high-performance and collaborative engineering culture. Some of the perks of joining us: Unique exposure to datasets that handle over 500 million records a day and over 10 MB per second real time data input Champion Engineering Excellence to influence data driven impact across global scale software products. Work alongside the top 5% of engineering talent in Australia using a vast AWS cloud native and big data technology stack. Exposure to building global, large-scale volume data pipelines, data warehouses, and datalakes which are consuming requests at thousands per second frequency. Access to over 9,000 courses across our Learning and Development Platform EAP access for you and your family Be rewarded with lucrative annual bonuses Give back with a paid volunteer day Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house Break up the week with on site remedial massage Wednesdays In house full-time barista’s providing you your daily coffee needs Weekly team lunches and happy hour in the office from 4pm on Fridays Enjoy a bustling office with the option for up to 2 days work from home per week Fun office environment with pool tables, table tennis and all your favourite gaming consoles We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Software Development, Data Infrastructure and Analytics, and Entertainment Providers Referrals increase your chances of interviewing at Easygo by 2x Sign in to set job alerts for “Data Engineer” roles. 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