3 of 3 Big Data Jobs in Nottinghamshire

of our award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of … roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and … debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis More ❯

KM Recruitment is a specialist UK wide recruiter for the Skills and Employability Sectors Job Title: Assessor/Trainer - Data Technician and Business Analyst Location: Home/Field based - Must be flexible with travel Salary: up to £60,000 + expenses + Much More Type: Full Time, Permanent KM … training organisation who have an exciting period of growth ahead. They are looking to build their team of Specialist Trainers for the delivery of Data Technician and Business Analyst Apprenticeships. The successful candidate will be home based, and deliver engaging workshops/masterclasses to cohorts of learners working towards … Apprenticeship Standards in Data Technician (Level 3) and Business Analyst (Level 4) via a blended learning approach (face-to-face and remote). Essential Criteria; Must hold a Level 3 Teaching qualification: AET/PTLLS or above/equivalent. Ideally hold a recognised Assessor award: D32/33, A1 More ❯

Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths, including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯