8 of 8 Big Data Jobs in the North East

Data & Analytics Engineer 6 - 12 Months Contract Newcastle £400 - £500 per day (outside IR35) Sellick Partnership is currently assisting an organisation in Newcastle with the recruitment of a Data & Analytics Engineer. This is a contract for 6 - 12 months, this role is hybrid with 3 days onsite and … from home. Responsibilities of the Data & Analytics Engineer include: Deliver the Data and Analytics service platform and methods Design and develop appropriate secure data architecture such as data warehouses and data lakes for big data, data science, data models Sourcing, accessing … manipulating and engineering ETL data pipelines and processes with data Use programming skills such as SQL, Python and others to expose data from systems Collate, cleanse, synthesise, integrate and interpret data to derive meaningful and actionable insights services to meet user needs at scale The ideal More ❯

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 ❯

AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training, evaluating, and optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Deploying models to production environments, ensuring robustness and scalability. Monitoring … frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g. More ❯

live race events during weekends, this role will require the ability to work a flexible schedule. The Role We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning, split-second identification … Motorsports and GM sponsored motorsports teams to develop and support race strategy tools and provide analytic guidance. Co-develop production race strategy software with data science and IT software development. Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate … Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC, or similar More ❯

live race events during weekends, this role will require the ability to work a flexible schedule. The Role We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning, split-second identification … Motorsports and GM sponsored motorsports teams to develop and support race strategy tools and provide analytic guidance. Co-develop production race strategy software with data science and IT software development. Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate … Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC, or similar More ❯

infrastructure across all industries. Enter a lucrative career within Cloud Computing. Have the option to explore other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

for them. In terms of technology, their focus is pretty wide and encompasses a range of areas including AI, DevOps, Cloud, IoT, Mobile and Big Data. They've got a strong engineering culture and utilise modern engineering practices when engaging on client projects, with an overriding focus on solving More ❯

engage with senior clients, engineers, and architects daily? Are you a critical thinker eager to explore the untouched capabilities of technologies such as Cloud, Big Data, AI, and Robotics? Joining the team means becoming part of a community that serves Accenture's clients with the best insights regarding … formulate the need for new capabilities and operating model changes. Advising on, designing, and implementing modern engineering capabilities including Platform Engineering, DevOps, SRE, Automation, Data & AI, and Cloud. Conducting Agile and modern engineering maturity assessments to identify opportunities to improve quality, consistency, and speed to market. Developing recommendations and … for individuals with the following skills and experience: Technology Experience: Experience designing modern technology operating models or an engineering professional with a background in Data & AI, DevOps, or Platform Engineering seeking to pivot towards advisory work. Understanding modern IT, Data, AI, and Cloud operating model components and methodologies. More ❯