with a creative mindset. Great attention to detail and quality focused. Keen to build operational knowledge in 21st century IT (Cloud, Social, Mobility, IoT, BigData, etc). Appetite to learn and apply architecture best practices and patterns. Understanding of other programming languages and the software development lifecycle more »
Solutions Architect - Data Product UK Remote (very ad-hoc travel) Market Day Rate - Outside IR35 Initial 6 months (high scope for extensions) Fruition Consulting are looking for an experienced Solutions Architect with extensive experience working across data platforms to join a well-recognised, highly regulated software focused business. … Solutions Architect, you will take responsibility for the platform design and architecture ahead of a migration from legacy to a brand new AWS cloud data platform. Requirements: Experience with AWS cloud data platforms Strong understanding of the role of architecture in enterprise data projects Proven commercial experience … migrating on prem solutions to the cloud, including re-architecting Prior experience working on data focused projects e.g. data warehousing, bigdata, data streaming Proficiency with Apache Kafka, Apache Spark, Apache Flink etc. We are an equal opportunities employer and welcome applications from all suitably more »
Data Engineer Full time - 40hrs a week Head office based - Leeds Salary- Competitive Hybrid Founded in 1975, Moda in Pelle has been crafting beautiful shoes for over 40 years. We take great pride in combining British sophistication with fine Italian quality and gorgeous leathers. We believe in creating fashionable … footwear that combines affordable luxury, stunning design and complete comfort for our customers The Data Engineer is responsible for designing, building, and maintaining the company's data infrastructure. They work closely with the Head of Technology, analysts, and software developers to ensure that the data is accurate … reliable, and accessible to those who need it. Key Responsibilities: Design, build, and maintain the company's data infrastructure, including data warehousing, data lakes, and data pipelines. Collect, process, and cleanse data from a variety of sources, including structured and unstructured data, in order more »