26 to 50 of 62 Hadoop Jobs in England

Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance More ❯

Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance More ❯

Provide Environment Management representation in daily scrums, working groups, and ad-hoc meetings. Required Skillsets: Strong skills and experience with data technologies such as IBM DB2, Oracle, MongoDB, Hive, Hadoop, SQL, Informatica, and similar tech stacks. Attention to detail and strong ability to work independently and navigate complex target end state architecture (Tessa). Strong knowledge and experience with More ❯

in scripting (Python, Bash) and programming (Java). Hands-on experience with DevOps tools : GitLab, Ansible, Prometheus, Grafana, Nagios, Argo CD, Rancher, Harbour. Deep understanding of big data technologies : Hadoop, Spark, and NoSQL databases. Nice to Have Familiarity with agile methodologies (Scrum or Kanban). Strong problem-solving skills and a collaborative working style. Excellent communication skills , with the More ❯

languages (Python, Bash) and programming languages (Java). Hands-on experience with DevOps tools : GitLab, Ansible, Prometheus, Grafana, Nagios, Argo CD, Rancher, Harbour. Deep understanding of big data technologies : Hadoop, Spark, and NoSQL databases. Nice to Have Familiarity with agile methodologies (Scrum or Kanban). Strong problem-solving skills and a collaborative working style. Excellent communication skills , with the More ❯

e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would More ❯

e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would More ❯

e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would More ❯

and social benefits (e.g. UK pension schema) What do you offer? Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc.) Proficiency in More ❯

e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes). Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication and collaboration skills. Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable. Work Environment Full time on-site presence required If you don't meet every single requirement More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model More ❯

with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like More ❯

as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join More ❯

Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spar k , Kafka, etc.) Microservice and cloud native architecture Desirable: Able to demonstrate experience of troubleshooting and diagnosis of technical issues. Able to demonstrate excellent team-working skills. Strong More ❯

Schema, Data Vault). Proficiency in cloud and DataOps solutions, particularly within Azure or AWS ecosystems, including event streaming (Azure Event Hubs, Kafka). Experience with Big Data solutions (Hadoop, Cassandra). Knowledge of compliance standards (GDPR, ISO 22701) and architecture frameworks (TOGAF, DAMA). Skilled in using architecture tools (Visio, Draw.io, Archi, SparxEA). General: Eligible for UK More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯