6 Big Data Jobs in Cambridgeshire

software strategy and architecture of cutting-edge market research tools. Develop, maintain, and manage applications, tools, and services. Ensure performance, stability, and security of data collection and processing platforms. Manage application and database deployments and infrastructure. Work in close collaboration with cross-functional teams to design, develop, and deliver … client-centric data platforms and applications. Stay at the forefront of technological advancements, continuously exploring and integrating new technologies. Tools and Technologies: You'll work with a diverse range of tools, including but not limited to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. … Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in Python, MS SQL, Java, AWS, JavaScript. Experience with ETL processes, data warehousing more »

benefits Please note: you need to have the right to work in the UK – no sponsorship, unfortunately About the job Reporting to the Senior Data & Analytics Lead, the BI Developer will be responsible for driving the direction and maintaining the business data model ensuring it aligns with business … activities and processes. The role will work closely with key internal and external stakeholders in organising and creating a data model that makes data and information accessible with appropriate channels of access controls. Fostering a relationship of trust and playing an advisory role in the use of data to improve business performance. The role will require playing a highly collaborative role by overseeing cross-functional data governance while ensuring the adoption and adherence to data quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of more »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »

the role demands both high technical aptitude and problem-solving abilities, motivation, and exceptional attention to detail. At Roku, we are a company of data-focused builders, particularly on the Search and Recommendations team. Every day, you'll have the opportunity to assess existing systems and find ways to … experience applying Machine Learning to concrete problems at large-scale. Strong CS fundamentals, with the ability to write algorithms with ease. Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models. Experience with advanced machine learning techniques, including … quality metadata and artwork. Proven familiarity with NLP approaches like Word2Vec or BERT, including identifying the right KPIs and objective functions. Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Experience building in-production Machine Learning systems Good more »

various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless … Python programming and strong proficiency in Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. more »

various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless … Python programming and strong proficiency in Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. more »