1 to 25 of 29 Permanent Cloudera Jobs in London

software development. Certifications: Relevant certifications can enhance credibility and demonstrate expertise, such as: Google Cloud Professional Data Engineer, AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, Cloudera Certified Professional (CCP) Data Engineer Projects Portfolio: A portfolio showcasing relevant work, such as projects completed during previous employment, internships, or personal initiatives that highlight data engineering capabilities. Familiarity with More ❯

We are seeking an experienced Cloudera Architect for a 6-month contract, with the possibility of extension. The successful candidate will play a key role in designing, implementing, and optimizing Cloudera-based solutions to support enterprise-scale data platforms. Key Responsibilities & Required Skills: Design and implement Cloudera Data Platform (CDP) solutions, ensuring scalability, performance, and security. Strong Cloudera experience with … expertise in Cloudera Data Platform (CDP), Cloudera Manager, and Cloudera Navigator . Strong knowledge of Hadoop ecosystem and related technologies such as HDFS, YARN, Hive, Impala, Spark, and Kafka . Strong AWS services/Architecture experience with hands-on expertise in cloud-based deployments (AWS, Azure, or GCP) . Strong Big Data experience , including data lakes, ETL pipelines, and streaming … to enhance data processing capabilities. Ensure best practices for data security, access controls, and compliance , including Kerberos, TLS, and Ranger policies . Lead migration projects from legacy platforms to Cloudera CDP . Troubleshoot and resolve performance bottlenecks and platform-related issues. Experience with containerization (Docker, Kubernetes) and automation tools such as Ansible, Terraform is a plus. Strong scripting and programming More ❯

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 More ❯

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 More ❯

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 More ❯

Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker More ❯

the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of bigdata frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such as python & bash etc. More ❯

assessment Knowledge of fuzzing, memory corruption, and exploit development Familiar with Jenkins, Bamboo, CI/CD Pipelines, and other automation tools Experience with Big Data technologies such as Elastic, Cloudera, Hadoop, Datadog, or others Experience maintaining security tools and automation scripts to streamline security processes Veeva’s headquarters is located in the San Francisco Bay Area with offices in more More ❯

platforms (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 ❯

agnostic and has capability across a range of technologies, including products from SAP, Oracle, IBM and Microsoft as well as more specialist technology providers such as Qliktech, Informatica, Talend, Cloudera and Infoshare. Eviden work with a range of large organisations facing an ever-increasing demand to realise greater value from their data and are seeking advice and solutions to meet More ❯

skills needed for this job include: Expertise in Terraform, Kubernetes, Shell/Powershell scripting, CI/CD pipelines (GitLab, Jenkins), Azure DevOps, IaC. Experience with big data platforms like Cloudera, Spark, and Azure Data Factory/DataBricks. Key Responsibilities: Implement and maintain Infrastructure as Code (IaC) using Terraform, Shell/Powershell scripting, and CI/CD pipelines (GitLab, TeamCity, Jenkins … DevOps and Vault. Work with the Technical and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills and Technologies: Kubernetes : Orchestrate containerized … CD (GitLab, Jenkins, TeamCity) : Continuous integration and delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure cloud environments. Strong problem-solving More ❯

collaborative team. Strong communication skills and ability to engage with business stakeholders directly. Familiarity with legacy systems (e.g. C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or More ❯

concepts/technologies e.g. data warehouse, data lakes, big data * Expert level experience in the development of complex data routines and patterns * Experience of developing data solutions on Oracle, Cloudera or Horton Works platforms * Knowledge of database architecture, relational database diagrams, data warehousing principles and integrity constraints * Knowledge of API development * Experience of developing data solutions using cloud native services More ❯

collaborative team. Strong communication skills and ability to engage with business stakeholders directly. Familiarity with legacy systems (e.g. C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or More ❯

and to foster positive relationships Desired Qualifications: Exhibits strong drive for results and success Persists in the face of significant difficulties, does not give up easily Basic understanding of Cloudera Hadoop would be beneficial Skills: Analytical Thinking Production Support Result Orientation Solution Delivery Process Solution Design DevOps Practices Innovative Thinking Shift: 1st shift (United States of America) Hours Per Week More ❯

Experience with additional data orchestration tools. Familiarity with other big data tools and technologies. Previous experience in a similar role within a dynamic and fast-paced environment. 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 ❯

being able to develop technical specialisms. WE NEED THE LEAD BIG DATA ENGINEER TO HAVE... Current DV clearance (Enhanced) Must have experience with big data tools such as Hadoop, Cloudera or Elasticsearch Demonstrable experience in a professional Java environment Experience of DevSecOps automated deployment tools such as Jenkins, Ansible, Docker Experience working in an Agile Scrum environment with tools such More ❯

digital, data, and AI technologies, with exposure to emerging trends and technologies such as cloud strategy, data & AI innovation, and experience with platforms like Google Cloud, SAS, Teradata, and Cloudera Additional information Life at PA is about enriching our peoples' working lives through unique experiences, growth opportunities, and meaningful work. Our purpose guides our work with clients and communities to More ❯

Company Description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further More ❯

Job Description At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As … the Director of Communications, EMEA at Cloudera, you will help build the Cloudera brand through media relations and customer & industry storytelling. Working closely with teams across the organization and outside agencies, you will help evolve and share Cloudera's story with our core markets in the EMEA Region - BeNeLux, UK, Germany, Dubai, France, Italy, and Spain. Responsibilities Build awareness through … work closely with local market spokespeople to increase proactive coverage as a driver for sales opportunities. Collaborate with the US-based communications team and local PR agencies to pitch Cloudera’s products, industry, and customer stories, managing media relationships. Research media and target audiences, and drive ongoing proactive media activity. Position Cloudera's leadership as industry subject matter experts and More ❯

Business Area: Engineering Seniority Level: Director Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for … the world’s largest enterprises. Cloudera is looking for a talented and experienced engineering leader with a passion for building and shipping great software. As a key leader, you will be responsible for hiring and leading high-performing engineering teams while driving innovation in the Cloudera Data Engineering product area. This next-generation cloud-native service empowers customers to run More ❯

of the work, you must hold enhanced DV Clearance. WE NEED THE DATA ENGINEER TO HAVE.... Current enhanced DV Security Clearance Experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience With Palantir Foundry Experience working in an Agile Scrum environment with tools such as Confluence/Jira Experience in design, development, test and integration of software Willingness … DV CLEARANCE/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP VETTING/DEEP VETTED/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH/LEAD BIG DATA ENGINEER/LEAD BIG DATA DEVELOPER #J-18808-Ljbffr More ❯

Solutions in Mission-Critical areas. WE NEED THE BIG DATA ENGINEER TO HAVE.... Current DV clearance – Standard or Enhanced Must have experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience with Palantir Foundry is preferred but not essential Experience working in an Agile Scrum environment Experience in design, development, test and integration of software IT WOULD BE … DV CLEARANCE/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP VETTING/DEEP VETTED/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH #J-18808-Ljbffr More ❯

Apache Hadoop We are looking for open-source contributors to Apache projects, who have an in-depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience in design of an open More ❯

Apache Hadoop We are looking for open-source contributors to Apache projects, who have an in-depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience in design of an open More ❯