101 to 125 of 357 Big Data Jobs

applications and e-commerce websites. The agency works on a diverse range of projects, from auction systems to high-traffic e-commerce site, and big data applications. We are now seeking an experienced and dynamic Account Manager to join their busy, growing, and successful team. Digital Marketing Account more »

to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements … of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a … integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical more »

applications and e-commerce websites. The agency works on a diverse range of projects, from auction systems to high-traffic e-commerce site, and big data applications. We are now seeking an experienced and dynamic Account Manager to join their busy, growing, and successful team. Digital Marketing Account more »

implementing and maintaining Linux/Unix systems/networks and related applications is required. Knowledge of Security Technical Implementation Guides (STIGs). Experience with big data and data formats such as CSV, CEF, JSON, XML, etc Experience with Splunk. Experience with Clustered File Systems.Qualified IA personnel IAW … include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. more »

of our award-winning team at Sparta Global. About the Job 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 data more »

of our award-winning team at Sparta Global. About the Job 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 data more »

Kafka Developer Duration: 6 Months Location: Milton Keynes Key responsibilities: Demonstrable experience as an Kafka Developer (Ideally Kafka Streams). Hand on experience in Big data technologies (Hadoop, Hue, Hive, Impala,Spark,.) and stronger within Kafka. Knowledge and experience using Key value data bases . Experience … developing microservices using Spring. Design and develop cloud-based data engineering solutions Java/Scala, Openshift/Kubernetes , deployments in Jekins The Candidate will be part of the team responsible for progress and support of one of the main streaming in house products . As well will be responsible … for creating a scalable configurable streaming applications to provide fresh data as part of data services for different applications ,usually 24/7 applications with a big performance requirement . Key skills/knowledge/experience: Big Data Hadoop - Hive and Spark/Scala solid more »

in Wales. You will lead teams responsible for the delivery of digital care and precision medicine programmes, including genomics, diagnostics, advanced therapies, artificial intelligence, big data, and predictive analytics. You will liaise with several key internal and external stakeholders, building relationships and collaborating with wider government bodies, public more »

sales initiatives. As an IT Specialist, you'll need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. … process to discuss R&D reliefs. Interview in-house technical staff to assess eligibility for R&D activities. Collaborate with clients to gather necessary data for relief calculations. Prepare and review detailed reports supporting R&D claims. Liaise with HM Revenue and Customs on behalf of clients to secure more »

Java Cryptography Architecture. Operating-system-level server virtualization e.g. Docker. Enterprise attribute based access control e.g Axiomatics. Identity Management e.g. NetIQ. RESTful Web services. Big Data and Cloud. Skills in additional languages e.g. C, C++ Python, or Perl. Development of embedded C and C++ for embedded Linux using … Java Cryptography Architecture. Operating-system-level server virtualization e.g. Docker. Enterprise attribute based access control e.g. Axiomatics. Identity Management e.g. NetIQ. RESTful Web services. Big Data and Cloud. Experience with recent versions of MS Visual Studio. Skills in additional languages e.g. C, C#, Python, or Perl Desirable skills more »

Analysis : Able to investigate and understand complex technical issues and problems. Ensure issues are managed appropriately. Systems Design : Competent using system analysis tools (UML, Data Flow, FMEA, etc.) to analyse customer needs, system requirements, capability, and cost to determine project feasibility. Able to lead the integration of complex systems … cycle. IoT and SaaS Knowledge of application programming interfaces (APIs) that connect devices to the Internet, along with other key IoT technologies such as Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radio-frequency identification (RFID). Product Compliance An expert knowledge of more »

not afraid to speak our minds to help steer our customers towards understanding and achieving their key goals. We are looking for a Lead Data Consultant to help us grow and on our journey of taking OC to the next level. Your experience as a data focused technologist … strategise, and deal with the ingestion, processing, integration and ability to get insights out of their data. What you’ll spend your time on: Data Strategy & Architecture: Help customers make sense of, and understand their data in the context of what their business is trying to achieve. Create … data models and articulate the tradeoffs around different data approaches. Design and Architect complex data platforms and solutions across a variety of different scenarios. Leadership & Consulting: Provide technical leadership and guidance for our customers and your fellow team-mates in the area of data and data more »

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer … definition, effort and cost estimation, Past experience in dealing with partners, tools vendors, etc. Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP … Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization more »

Role: Data Architect Location: London, UK Define all architecture patterns (Data Mesh, Data Fabric, EventHub etc) Define each architecture pattern Data & Analytics Platform Functional Blueprint, Logical Layers and Each layer Capabilities Identify All Ingestion Patterns (Real Time, Batch, Structured, Unstructured (Images/PDF) for each data & analytics platform Analyze existing Data & Analytics Platform Architecture Playbook, Identify Gaps and Enrich Playbook Guided Tooling Framework (Scorecard based approach) Potential Engineering Frameworks (Structured/Semi-Structure) Define Intake Frameworks (Unstructured - OCR/Intake) Data Governance Capabilities/Framework/Integration with rest of Ecosystems Design & Recommend … Data Traceability/Lineage/DQ/Reconciliation and Observability Platform Understanding of Cloud (GCP, AWS) Services Offering Deep Understanding of Banking Regulations and solution required to adopt them in Hybrid Cloud Ecosystem Data & Analytics Platform Governance: FinOps, Regulatory Conduct MVP/POC Qualifying Criteria Must have 12+ more »

Role: Data Architect Location: London, UK Define all architecture patterns (Data Mesh, Data Fabric, EventHub etc) Define each architecture pattern Data & Analytics Platform Functional Blueprint, Logical Layers and Each layer Capabilities Identify All Ingestion Patterns (Real Time, Batch, Structured, Unstructured (Images/PDF) for each data & analytics platform Analyze existing Data & Analytics Platform Architecture Playbook, Identify Gaps and Enrich Playbook Guided Tooling Framework (Scorecard based approach) Potential Engineering Frameworks (Structured/Semi-Structure) Define Intake Frameworks (Unstructured - OCR/Intake) Data Governance Capabilities/Framework/Integration with rest of Ecosystems Design & Recommend … Data Traceability/Lineage/DQ/Reconciliation and Observability Platform Understanding of Cloud (GCP, AWS) Services Offering Deep Understanding of Banking Regulations and solution required to adopt them in Hybrid Cloud Ecosystem Data & Analytics Platform Governance: FinOps, Regulatory Conduct MVP/POC Qualifying Criteria Must have 12+ more »

a not-for-profit organisation focused on developing the blockchain/DLT ecosystem. Due to ongoing growth they are now looking for an experienced Data Engineer to join their team. This role is pivotal in managing, curating, optimising, and securing datasets specifically related to cryptocurrency discussions across various platforms. … The ideal candidate will be adept in web scraping, data quality assurance using AI, data integration, ensuring data security and compliance, and maintaining detailed documentation. Blockchain experience is not needed but a solid background with Python, AWS and web scraping is a must. Role and Responsibilities Data Collection: Identify relevant chat sources, groups, and forums on platforms discussing particular topics. Maintain and develop web scraping tools or APIs for periodic data extraction. Data Quality Assurance: Develop and implement AI-based procedures for quality control of data and data sources to eliminate inaccuracies more »

Analytics Advanced Specialisation. Adatis is now part of Telefonica Tech as of March 2022, powering the next phase of our growth. We’re a Data Analytics Consultancy that works with our clients to deliver information solutions, to help make better informed business decisions. Our integral approach within our team … that people really love; and, importantly, a career model that lets you take control of your development and progression. OUR VISION To be the data analytics company most admired for its people, culture and innovation. THE ROLE The primary focus for you will be the design and delivery of … enterprise-level data solutions from the earliest discovery phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory as well as Hadoop to create big data environments which, in turn, will help businesses to gain more »

Job Title: Azure Data Engineer (Contract) Duration: 3 months Rate: £400 per day Location: Remote Skills: Databricks/Azure Data Lake/Kubernetes IR35 Determination: Outside IR35 Company Overview: We are seeking a skilled and experienced Azure Data Engineer to join our team on a contract basis. … This is an exciting opportunity to contribute to our data infrastructure and play a key role in ensuring the reliability, efficiency, and performance of our data solutions on the Azure platform. Responsibilities: Design, develop, and implement data solutions using Azure services, including Azure Databricks, Azure Data Lakes, and other cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data more »

Job Title: Azure Data Engineer (Contract) Duration: 3 months Rate: £400 per day Location: Remote Skills: Databricks/Azure Data Lake/Kubernetes IR35 Determination: Outside IR35 Company Overview: We are seeking a skilled and experienced Azure Data Engineer to join our team on a contract basis. … This is an exciting opportunity to contribute to our data infrastructure and play a key role in ensuring the reliability, efficiency, and performance of our data solutions on the Azure platform. Responsibilities: Design, develop, and implement data solutions using Azure services, including Azure Databricks, Azure Data Lakes, and other cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data more »

of knowledge on which to develop their careers and progress in the direction they choose. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a … fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team … skills Self motivated, enthusiastic and committed The ideal candidates will share our values and be aligned with our ways of working Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion more »

of knowledge on which to develop their careers and progress in the direction they choose. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a … fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team … skills Self motivated, enthusiastic and committed The ideal candidates will share our values and be aligned with our ways of working Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion more »

Azure Data Engineers wanted by a London based company at the forefront of revolutionising healthcare through cutting-edge technology and data-driven solutions. Our mission is to improve patient outcomes and streamline healthcare processes by leveraging the power of data. We are looking for a talented Azure Data Engineer to join our dynamic team and help us drive our mission forward. As an Azure Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. You will work closely with our data science, analytics, and engineering teams to ensure … that data systems are robust, scalable, and secure. Your expertise will help us harness the full potential of our data to deliver innovative healthtech solutions. The business is already a well established leader within their domain. However, they like to keep team sizes quite small as they want more »

Azure Data Engineers wanted by a London based company at the forefront of revolutionising healthcare through cutting-edge technology and data-driven solutions. Our mission is to improve patient outcomes and streamline healthcare processes by leveraging the power of data. We are looking for a talented Azure Data Engineer to join our dynamic team and help us drive our mission forward. As an Azure Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. You will work closely with our data science, analytics, and engineering teams to ensure … that data systems are robust, scalable, and secure. Your expertise will help us harness the full potential of our data to deliver innovative healthtech solutions. The business is already a well established leader within their domain. However, they like to keep team sizes quite small as they want more »

Data Models Lead - Data Engineering - MarTech R83188 Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN … Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our 130,000 Associates to act daily towards creating the world we want tomorrow. Role Profile Data and Analytics is foundational to our Petcare OGSM and will drive our transformation to a business that is powered by data. To deliver on … OR equivalent demonstrated through work experience. Nice to have – Masters/Degree with some computing, scientific, statistical or mathematical component. Extensive experience working with data, data models, and data systems in support of marketing technology (MarTech), e.g. CMS, CDPs, identity resolution/SSO Extensive experience using MarTech more »

Are you passionate about leveraging cutting-edge data technologies to drive business success? Do you thrive in dynamic environments where innovation and collaboration are valued? If so, we have an exciting opportunity for you! Position: Lead Data Engineer Responsibilities: Lead Data Management and Architecture: Spearhead the design … and implementation of robust data solutions across the organization, ensuring scalability and efficiency. Next Gen Data Platform Leadership: Act as the primary data engineer supporting the development of our next-generation data platform, collaborating closely with third-party vendors to build a highly scalable and robust … data hub. Develop and Optimize Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems, ensuring they meet business requirements and industry best practices. Data Integration and Storage Solutions: Implement data storage solutions and manage large-scale processing systems, overseeing the integration more »