The Director of Data Engineering is responsible for leading the Data Engineering team to build trusted Data Ingestion Pipelines that seamlessly move and transform data from SaaS and in-house transactional databases to a Data Warehouse, enabling actionable business insights. This role requires a strong technical leader with effective communication and leadership skills to manage a data engineering team.

Kickstarter is seeking an experienced Senior Data & Analytics Engineer II to join our Insights team to unlock new and valuable experiences for our community through the smart use of data by modernizing our data stack, building scalable pipelines, enabling deeper insights, and architecting a data foundation.

Join Fleetio's data and analytics team to help build the next generation of their data platform and product. Responsible for the design and implementation of their data platform, building data products for marketplaces, integrations, and analytics. Work encompasses the full spectrum of data engineering while crossing over into areas of software and analytical engineering.

Lead and scale the data team across data engineering, analytics engineering, and data science, reporting to the CTO and partnering with the Data Strategy Manager. The focus is on building robust data systems, developing engineering talent, and driving operational excellence. Requires expertise in data, leading technical teams, and translating business requirements into scalable technical solutions.

Build the platform used by Analytics Engineers to transform raw data into insight, maintain and build on our existing data infrastructure and tools, and support the internationalisation of our data infrastructure as we continue to grow globally. We're looking for someone who can work autonomously to scope problems and deliver pragmatic solutions.

Explore the blockchain ecosystem to detect opportunities and risks. Optimize the economy for the validation process, including research, modeling, and improving business processes. Design and develop end-to-end data solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. Provide informative dashboards to the team, company, and community.