3 of 3 Big Data Jobs in Sheffield

cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/… cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme 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 ❯

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 ❯