Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage. Key responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities. Skills, knowledge and expertise We are looking for candidates with a range of skills and experience, please apply even if you don’t meet all the criteria as if unsuccessful we can provide you with feedback. Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies. Strong experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines. Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders. You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc) You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics.