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Position: Associate Director - Data Engineering
Location: Sydney, Australia
Travel: Potential travel within ANZ
Simple Machines. Data Engineered to Life™
Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.
We engineer data to life™.
Simple Machines is looking to hire a talented Associate Director - Data Engineering to join our cohesive leadership team. This is a full-time role to be based in our Sydney office.
We need you to help us design and deliver a fantastic program of data focused engineering projects for our globally distributed client base.
Simple Machines’ mission is to ensure our clients get the most out of their data by designing and building modern data platforms, engineering data powered software applications and products, and enabling engineering and data driven business focussed use-cases.
You’ll work closely with our Director Client Strategy and our Director Client Delivery to understand client needs and design and successfully deliver compelling market leading solutions. Not only that, you’ll also be a leader of our engineering team, partnering closely with Talent & Culture team to develop and improve our technical professional development programs.
Sound good so far?
We specialise in architecting modern data platforms, enabling use-cases on top of these and designing and building data driven greenfield software applications and products. We are looking for someone who can bring thought leadership and deep expertise in each of these practice areas.
Ideally you will have experience in the following areas:
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