Stevenage, England, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. More ❯
automation & configuration management Ansible (plus Puppet, Saltstack), Terraform, CloudFormation NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript Big data processing and analysis, e.g. ApacheHadoop (CDH), Apache Spark RedHat Enterprise Linux, CentOS, Debian or Ubuntu Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ Open source technologies Experience of More ❯
other engineers on the team to elevate technology and consistently apply best practices. Qualifications for Software Engineer Hands-on experience working with technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies like More ❯
Tableau, Looker, or QlikSense . Ability to create well-documented, scalable, and reusable data solutions. Desirable Skills Experience with big data technologies such as Hadoop, MapReduce, or Spark. Exposure to microservice-based data APIs . Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions More ❯
Tableau, Looker, or QlikSense . Ability to create well-documented, scalable, and reusable data solutions. Desirable Skills Experience with big data technologies such as Hadoop, MapReduce, or Spark. Exposure to microservice-based data APIs . Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions More ❯
london, south east england, united kingdom Hybrid / WFH Options
Kantar Media
broad IT skill set, including hands-on experience with Linux, AWS, Azure, Oracle 19 (admin), Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer More ❯
understanding of Java and its ecosystems, including experience with popular Java frameworks (e.g. Spring, Hibernate). Familiarity with big data technologies and tools (e.g. Hadoop, Spark, NoSQL databases). Strong experience with Java development, including design, implementation, and testing of large-scale systems. Experience working on public sector projects More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Investigo
visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection More ❯
Birmingham, West Midlands, West Midlands (County), United Kingdom Hybrid / WFH Options
Investigo
visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection More ❯
structured data handling Ability to work independently and collaboratively in cross-functional teams Nice to have: Experience with big data tools such as Spark, Hadoop, or MapReduce Familiarity with data visualisation tools like QuickSight, Tableau, or Looker Exposure to microservice APIs and public cloud ecosystems beyond AWS AWS certifications More ❯
structured data handling Ability to work independently and collaboratively in cross-functional teams Nice to have: Experience with big data tools such as Spark, Hadoop, or MapReduce Familiarity with data visualisation tools like QuickSight, Tableau, or Looker Exposure to microservice APIs and public cloud ecosystems beyond AWS AWS certifications More ❯
understanding of Java and its ecosystems, including experience with popular Java frameworks (e.g. Spring, Hibernate). Familiarity with big data technologies and tools (e.g. Hadoop, Spark, NoSQL databases). Strong experience with Java development, including design, implementation, and testing of large-scale systems. Experience working on public sector projects More ❯
large datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Preferred Skills: MSc or PhD in Computer Science, Artificial Intelligence, or related field. ADDITIONAL NOTES More ❯
Location: Worcester Duration: 6 month initial contract Rate: (Outside IR35) Security: Active DV clearance required Role details: We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will help design, develop More ❯
invent, a track record of thought leadership and contributions that have advanced the field. - 2+ years experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran More ❯
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD Amazon is committed to a diverse More ❯
tools. • Messaging & Streaming: Exposure to RabbitMQ or similar message/streaming broker technologies. • Advanced Technologies: Interest or experience in big data technologies (e.g., HBase, Hadoop), machine learning frameworks (e.g., Spark), and orbit dynamics. Why Join Us? • Innovative Environment: Be part of projects at the cutting edge of space systems More ❯
We are a leading multi-strategy systematic hedge fund based in London, leveraging advanced technology and data to drive our trading strategies. Our team includes top quantitative researchers, data scientists, and engineers, all collaborating to develop innovative solutions. We are More ❯
london, south east england, united kingdom Hybrid / WFH Options
Hunter Bond
A very exciting opportunity! The following skills/experience is required: Strong Data Architect background Experience in Data Technologies to include: Finbourne LUSID, Snowflake, Hadoop, Spark. Experience in Cloud Platforms: AWS, Azure or GCP. Previously worked in Financial Services: Understanding of data requirements for equities, fixed income, private assets More ❯
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting More ❯
System. • Agile Development: Previous exposure to Agile methodologies or similar technologies (training provided if necessary). • Advanced Technologies: Knowledge of big data technologies (HBase, Hadoop), machine learning frameworks (Spark), or orbit dynamics is of interest. Why CGI Secure Space Systems? Join a team that's at the forefront of More ❯
Knowledge of Spring MVC, Hibernate and Spring frameworks. Understanding of Html 5, CSS3, Java Script, AJAX based programming and jQuery/Hibernate. Experience in Hadoop, Cassandra, Big data technologies is a plus. SKILLS AND CERTIFICATIONS Java REST Spring Hibernate Additional Information All your information will be kept confidential according More ❯
machine learning. Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy. Experience with large-scale distributed systems such as Hadoop, Spark. Amazon is an equal opportunity employer. For accommodations during the application process, visit More ❯
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in More ❯
