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Nice to have: Azure Cosmos, Azure Storage (Blob and/or ADLS), Cloud Functions, React or Typescript (Front-end), Data Science and statistical analysis experience, DataOps. Live. Be open to learning and contributing to data science and predictive analytics.
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Utilize AWS data engineering services (including S3, Redshift, Glue, Kinesis, Lambda, etc.) Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines.
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Experience in the design and construction of AWS data engineering solutions. Experience in using search optimisers and data science tools. Senior Data Engineer - AWS / Databricks / Airflow.
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Stay updated with the latest trends and advancements in sports analytics and data science. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
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BSc, MSC (or PhD) in Maths, Computer Science, Data Science. Our client is widely regarded as pioneering in the Data Science / AI space. - Learning the domain of 'Energy' use data to create commercial opportunities.
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Software Engineering Manager | up to £80,000 | Hybrid. They are looking for an experienced Software Engineering Manager to support their goals for 2024. Foster a culture of continuous improvement: Using retrospective data, project metrics, bug escape metrics and regular operational catch ups across the business, gather actionable data, track trends, and analyse data to demonstrate continuous improvement to process, approaches, and tooling across teams.
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Bachelor or MSc degree in chemistry, chemical engineering, material science or similar discipline. Quantum Science is an award-winning material innovation company focusing on research and development of quantum dots and other advanced materials.
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Graduate degree (MSc/PhD) in Data Science, Data Engineering or AI/LLM engineering. Candidates should have extensive experience in the fields of data science, AI/LLM engineering or data engineering.
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You will be the primary data engineering subject matter expert and shape the data engineering roadmap. The ideal candidate will have a strong background and expertise in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value.
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Understanding of finance industry data domains and their application in data engineering. Work closely with Data architects, Developers, and the enterprise data management (EDM) group to understand data needs, contribute to the data governance framework, and deliver on data initiatives.
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PhD or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. Analyse market data to improve current trading algorithms.
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Experience: 7-10+ years of experience in Data Engineering within the SAS environment, with strong proficiency in Python and DBT (Data Build Tool). The successful candidate will play a crucial role in rewriting existing pipelines from SAS, Info, pearl, and shell scripts to Python and DBT-based solutions, ultimately loading data into Snowflake and Salesforce on Azure.
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With their core skills lying in PLC, SCADA, HMI, MIS, MES, RTU, control system software engineering, data acquisition, bespoke software and LV Assemblies and Electrical installation. This role will be working alongside control system project engineering staff.
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Higher degree in Mechanical Engineering or equivalent employment experience, with knowledge of mechanical, fluidics, and electronics fundamentals applied to the Medical or Life Science sector.
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Experience in modern data engineering technologies including but not limited to cloud-native data estates, data pipelines, data virtualization, data as a product, data privacy, micro-services architecture, access management, data locality.
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big data science engineering jobs in United Kingdom
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