Senior Data Engineer

Principal Data Engineer

Ippon Technologies

Ippon Australia is a team of true technologists who leverage contemporary thinking and tools to enhance the way our clients drive value. Whether it’s a bespoke platform to improve employee engagement within a national retail chain, or developing an app that provides next level direct customer interaction; value is delivered to our clients when we begin by understanding the business outcomes they desire and then apply our technical expertise to make these a reality.  We are expanding our market offering through the development of a Data Driven Architecture practice and are searching for passionate Data Engineers to join us. The Data practice complements our capabilities in Experience Design and Delivery, as well as Software Engineering and Cloud, further enhancing our ability to deliver comprehensive business outcomes to our clients. As a Senior Data Engineer, you will be working along side of our clients and be involved in supporting and/or driving the design, build, testing and implantation of data transformation of data pipelines using various tools and technologies. Gathering business requirements by engaging in data sourcing, data gathering and integration processes, as well as developing data pipelines using Big Data technologies.

Senior Software Engineer (Python/Django)

Kraken

Help us use technology to make a big green dent in the universe!   Kraken powers some of the most innovative global developments in energy.   We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.   It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. Our team All technology is written and maintained by a multi-discipline engineering team of around 800 people. This includes server-side, client-side and mobile engineers working closely with UX experts, copywriters and designers. We follow a Kanban-like approach, using Google docs and Asana to specify and manage work; Github and CircleCI as part of an immutable-infrastructure, continuous delivery pipeline; and Sentry and Cloudwatch to measure performance and monitor production.  Kraken is a great place to learn, work with some talented engineers and level-up your skills. Some of our coding conventions are open-source .     Our technology On the server-side, we mainly use Python. Most of our websites are powered by Django, Django-REST-framework and GraphQL (Graphene). We use AWS heavily as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery.  

Field Engineering, AI/ML Product Specialist

Databricks

FEQ227R222 Field Engineering, AI/ML Product Specialist As the AI/ML Product Specialist, you will be defining our technical go to market strategy and driving our AI/ML product adoption in the Asia Pacific and Japan region.  You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems. You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.  You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback. You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop. The impact you will have: * Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan * Develop materials for our GTM team to effectively communicate our value proposition * Support our field teams in key strategic pursuit opportunities * Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market * Act as the thought leader to build confidence and relationships with our customers at the executive level * Present externally at conferences, events and webinars and publish content to establish our position in the market * Work with our FDE teams and partners to establish best practices * Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion What we look for: * 6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Trusted advisor to technical executives that inform strategic data decisions * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Expertise in traditional Machine Learning methodologies and have deployed large scale production systems * Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source) * Proven track record of successful pre-sales experience in competitive situations * Ability to define and executive strategic program cross functionally * High impact communication internally and externally About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.