About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role is key to building and growing the in-house technical team at Makutu. The role will provide the successful applicants with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success. Working as part of the team and with the customer, you'll require excellent written and verbal English language and communication skills. Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office and customers sites will be required. Key responsibilities: * Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment * Understand complex business requirements and providing solutions to business problems * Understand modern data architecture approaches and associated cloud focused solutions * Defining data engineering best practice and sharing across the organisation * Collaborating with the wider team on data strategy Skills and experience: * A relevant Bachelors degree in Computing, Mathematics, Data Science or similar (ideal but not essential) * A Masters degree in Data Science (ideal but not essential) * Experience building data pipelines with modern practices including the use of cloud native technologies, DevOps practices, CI/CD pipelines and agile delivery * Experience with data modelling, data warehousing, data lake solutions * Able to communicate effectively with senior stakeholders. Successful candidates will likely posses Azure certifications such as DP-600 and/or DP-700. Also, applicants will have experience working with some of the following technologies: * Power BI * Power Apps * Blob storage * Synapse * Azure Data Factory (ADF) * IOT Hub * SQL Server * Azure Data Lake Storage * Azure Databricks * Purview * Power Platform * Python