London, England, United Kingdom Hybrid / WFH Options
Global Relay
a Global Relay DevOps engineer you will be integrated with a software engineering team to develop on premise ('on-prem') solutions including working with Hadoop based technologies. Your role will involve designing, implementing and supporting automated, scalable solutions. Your contribution will have an immediate impact of enabling efficient delivery … them from reoccurring. Deployments: Writing and running deployment automation tools using helm, ansible, or other configuration management systems Platform Integration: With technologies such as Hadoop and Kubernetes Some of the technologies that you will interact with include: Containerisation and virtualisation: Docker, Kubernetes, VMWare Operating Systems: Linux Build and deployment … Jenkins, Bitbucket, Maven, Helm Instrumentation and monitoring: Loki, Prometheus, Grafana, Mimir Languages and frameworks: Bash, Java, Groovy, Go, Python Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, Ceph Where you have knowledge gaps, training and mentoring will be provided. About You: You have an automation-first mindset. You enjoy more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or Hadoop a plus). Power BI, Dashboard design/development. Regulatory Awareness/Compliance Uphold Regulatory/Compliance requirements relevant to your role escalating areas more »
London, England, United Kingdom Hybrid / WFH Options
Version 1
Hub, IOT Hub, Apache Kafka, Nifi for use with streaming data/event-based data Experience with other Open Source big data products eg Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured more »
Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be more »
London, England, United Kingdom Hybrid / WFH Options
Global Relay
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 more »
Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be more »
within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in data more »
in your own skills development with support from the team and wider organisation • GNU/Linux software customisation, configuration and integration • Kubernetes Operators and Hadoop customisation, API integration and configuration with Ansible, Kustomize and Helm • System performance analysis and improvement of multiple, high spec large clusters Required qualifications to more »
and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
warehousing. Min 7yrs with Python Big Data & Data lake solutions; PostgreSQL, Clickhouse or SnowFlake etc Cloud Infrasutcurre (AWS services) Data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Hands-on team leadership The Reward Joining a fast-growth, successful blockchain business. The role offers fully remote work, a more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Vice President Data & AI London based We are searching for a Vice President of Data and Artificial Intelligence- someone with hands on experience designing AI solutions to solve complex business problems. Your new role is a leadership position at a more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Milton Keynes, Buckinghamshire, South East, United Kingdom
Maclean Moore Ltd
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 … 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 experience SQL advance knowledge - Been able to test changes and issues properly, replicating the code functionality into SQL more »
data preprocessing, feature engineering, and data visualization techniques.Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark).Familiarity with software engineering best practices, including version control, testing, and code review.Strong mathematical and statistical skills, with the ability to apply statistical more »
data preprocessing, feature engineering, and data visualization techniques.Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark).Familiarity with software engineering best practices, including version control, testing, and code review.Strong mathematical and statistical skills, with the ability to apply statistical more »
edinburgh, central scotland, United Kingdom Hybrid / WFH Options
Change Digital – Digital & Tech Recruitment
Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client more »
large-scale data science/data analytics projects Ability to lead effectively across organizations Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/Samza Implementing AWS services in a variety of distributed computing, enterprise environments Proficiency with at least one more »
Docker, Kubernetes). CI/CD pipelines and tools (e.g. DBT, Jenkins, GitLab CI) Desirable: Experience with analytics tools and frameworks (e.g., Apache Spark, Hadoop). SQL Sagemaker, DataRobot Google Cloud and Azure Data platform metadata driven frameworks to ingest, transform and manage data more »
Docker, Kubernetes). CI/CD pipelines and tools (e.g. DBT, Jenkins, GitLab CI) Desirable: Experience with analytics tools and frameworks (e.g., Apache Spark, Hadoop). SQL Sagemaker, DataRobot Google Cloud and Azure Data platform metadata driven frameworks to ingest, transform and manage data more »
modeling, data access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »
