1 to 25 of 26 Hadoop Jobs in the UK

of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and More ❯

ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming data (Kafka More ❯

data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience More ❯

Experience within the Insurance industry Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of More ❯

Experience within the Insurance industry Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of More ❯

high-quality software features Strong communication, organisational, and interpersonal skills Ability to manage multiple priorities in a fast-paced environment Experience with SQL, NoSQL, and big data platforms (e.g., Hadoop, Spark) Knowledge of cloud security (AWS, Azure, GCP) and data access controls Proficiency in scripting languages (e.g., Python, Bash) for automation Certifications such as OSCP, CEH, CISSP, or GIAC More ❯

in data modelling, data warehousing, and ETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience implementing CI/CD pipelines using Azure DevOps More ❯

management of secondary data with application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and More ❯

different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to More ❯

Banking/Financial Services domain is a plus. Preferred Qualifications Certifications in Pentaho, Big Data, or Cloud Platforms (AWS/GCP/Azure). Experience with Big Data technologies (Hadoop, Spark) and cloud data services. More ❯

and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies (e.g., Hadoop, Spark, AWS). Exceptional problem-solving skills and ability to think strategically. Outstanding communication abilities to convey technical concepts to non-technical stakeholders. Experience in managing cross-departmental or More ❯

Required Skillset: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML More ❯

commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a provided example More ❯

with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience with containerisation (e.g. Docker) is desirable. • Background in industrial and/ 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 ❯

an asset: Testing performance with JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts What you can expect More ❯

an asset: Testing performance with JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts What you can expect More ❯

following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 10+ years of experience in Information Technology. You should More ❯

an asset: Testing performance with JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts What you can expect More ❯

Engineer, ideally in an telecoms/ISP environment Knowledge of a wide range of security technologies, including SIEM platforms Database/Big Data Experience, e.g. MySQL, Postgres, ElasticSearch, Solr, Hadoop IT Systems - Windows, Linux, VMWare, AWS/Azure Scripting - Python, Powershell More ❯

take pride in the software you produce. Apache Maven Desirable Skills And Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you’ll be More ❯

take pride in the software you produce. Apache Maven Desirable Skills And Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you’ll be More ❯

Configuring and tuning Cloudera services for performance and security. Ensure secure, scalable, and cost-effective deployments on cloud platforms (AWS, Azure, or GCP). An understanding of all the Hadoop daemons along with their roles and responsibilities in the cluster. Should be able to troubleshoot issues in Cloudera services and fix those. Adding and removing nodes in the cluster. … Cloudera cloud data platform (CDP) and CDP Services and Big data knowledge. Proficiency in Terraform for infrastructure as code (IaC). Strong hands-on experience with Cloudera CDP and Hadoop ecosystem (Hive, Impala, HDFS, etc.) Experience with GitHub Actions or similar CI/CD tools (eg, Jenkins, GitLab CI). Solid Scripting skills in Shell and Python. Extensive experience More ❯

months (freelance/contract) Location: Stratford, London - 3 days per week on-site , 2 days remote Project Context The Cloudera Administrator will support and maintain the organisation's Hadoop/Cloudera platform, ensuring high availability, performance, and compliance. The role is part of a data engineering & platform team working on platform stabilisation, optimisation, and upgrades. Responsibilities Administer, configure, and … Ansible. Work closely with Data Engineering and Infrastructure teams on deployments and incident resolution. Required Skills & Experience Strong experience as a Cloudera Administrator in production environments. Solid knowledge of Hadoop ecosystem services (HDFS, YARN, Hive, Impala, Spark ). Expertise with Cloudera Manager , cluster configuration, and life cycle management. Strong Linux administration skills (RedHat/CentOS/Ubuntu). Good More ❯