18 of 18 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 ❯

problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me a copy of your CV if 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 ❯

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 ❯

success. The Skills You’ll Need: Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data. Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals Experience on at least one of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP VETTING/DEEP VETTED/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH More ❯

recommender systems at scale. Deep understanding of recent LLM and generative AI architectures with experience fine-tuning and deploying them. Experience processing large-scale data via distributed systems (Spark, Hadoop, etc.). Excellent communication and collaboration across engineering, analytics, and product teams. Track record of impact through production ML systems and/or peer-reviewed publications. Accommodation requests If More ❯

recommender systems at scale. Deep understanding of recent LLM and generative AI architectures with experience fine-tuning and deploying them. Experience processing large-scale data via distributed systems (Spark, Hadoop, etc.). Excellent communication and collaboration across engineering, analytics, and product teams. Track record of impact through production ML systems and/or peer-reviewed publications. Accommodation requests If More ❯

nature 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 …/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 More ❯

Data 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 …/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP VETTING/DEEP VETTED/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH More ❯