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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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Technologies like Azure Data Factory (ADF), Databricks, Delta Tables & Synapse will be used as the team oversees Eclipse data transformation & ongoing future development. Senior Data Engineer - Azure, Databricks, Python, Synapse, Azure Data Factory, Eclipse.
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Salter Grange is recruiting an multidisciplined MEP Project Manager to join a highly regarded Engineering Specialist on a Data Centre project to deliver a £50M Infrastructure Upgrade in London.
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Hands-on experience on AWS Cloud, Azure Cloud (GCP or Private Cloud an advantage too), Data Virtualisation, BI-Analytics-ML-AI / Modern Data Warehouse, Various ETL-ELT tooling including Pentaho , Cloudera, Spark, Hive, Big Data, Data Governance and Metadata tooling via tooling such as Informatica, Web Services / API / Message Services such as Rabbit MQ, Mulesoft, Tibco, etc.
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Python, Azure Synapse (Databricks, Data Factory, Datalake), SQL Server, Cosmos DB, Data Studio, Azure DevOps, Power BI. Minimum of 3 years of experience in data engineering with strong Python skills.
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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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The Head of IT and Data oversees all technology and data initiatives, supporting the 5-year strategy and managing IT and Data Operations across the charity, including two schools and hybrid and home teams across the country.
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Data centre or technology industry experience is welcome but not a pre-requisite. My client is a leading global data centres business. Someone with extensive privacy/GDPR experience is preferred, with a willingness and appetite to take on a wide-reaching role comprising anti-bribery and anti-corruption, trade compliance, privacy, internal investigations, and whistle blower/anonymous reporting.
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They are looking to hire its first Data Engineer who will work with internal stakeholders (Research, Trading, Quant, as well as Middle Office) to build advanced data solutions and platforms to solve the firm's complex data problems.
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Tech stack: Figaro Support Analyst, FNZ Figaro, Salesforce, Microsoft Dynamics CRM, Wealth Dynamix WDX ONE, SQL Server Management Studio, Objectif Lune PlanetPress, INVU Document Management, JIRA Administration, WhereScape/Data Warehouse, completing application testing, ITIL v3 Foundation, Service Now, JIRA or IVANTI, Support Analyst.
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Experience of, or interest in, some of the following would be beneficial: business operations; economics; organisational change management; climate resilience and sustainable development; energy systems; data visualisation, logistics and process mapping.
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Through cutting-edge technologies, we blend engagement science with storytelling to deliver organic social media content at scale and connect brands with top-tier talent. We are looking for a driven, creative, and dedicated Social Media Manager to lead our brand partnerships and influencer collaborations.
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If you're a seasoned AWS Data Architect with strong Java , Spring Boot , and microservices experience, we encourage you to apply. We are seeking a skilled AWS Data Architect with extensive experience in Java Development , Spring Boot , and Microservices for a critical migration project within the banking domain.
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Using your strong data engineering skills, you will own all data tools including data warehouse Snowflake, dbt, Fivetran and Power BI. Strong technical experience in engineering data analytics platforms across Snowflake, SQL Servers, Data lakes, DBT transformations, Fivetran and Power BI.
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Top tier Education – specifically a PhD or MSc from a global renowned (top 10) University in a highly quantitative subject (Maths, Stats, Physics, Computer Science etc) 3 years plus working experience as a quantitative analyst or quant developer at a top tier hedge fund or investment bank.
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data science jobs Company: Capgemini in London, England, United Kingdom
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