12 of 12 Hadoop Jobs in the UK

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 ...

data security, governance, and access controls Desirable Experience Experience working within UK defence, intelligence, or national security programmes Exposure to Apache Kafka, Spark, Hadoop, or similar technologies Experience supporting data science or advanced analytics use cases Background working with classified datasets Contract Details Apply now to be part ...

Methodologies: Understanding of Site Reliability Engineering (SRE) practices. Data Technologies: Knowledge of data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/ ...

Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best ...

clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualisation tools (Cassandra, Hadoop, Spark, Tableau). ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

Spring Boot Experience working with DevOps methodologies and scalable CI/CD pipelines Microservices Architecture Exposure to Big Data technologies such as: Kafka, Spark, Hadoop etc Strong understanding of clean code principles Experience working with AWS Cloud Kotlin experience (preferred ...

documentation Skills & Key Requirements: • Strong Slurm or equivalent job scheduler experience • Deep Docker knowledge (Kubernetes a plus) • Big data database design: PostgreSQL, MongoDB, or Hadoop/S3 • Python/Flask for API development • Infrastructure-as-Code: Terraform or Ansible • Observability stacks: Prometheus, Grafana, ELK Contract Details: • Day Rate ...

team. Risk & Process Management: Improve workflows and manage project dependencies, blockers, and risks. Tech Collaboration: Work closely with software teams on complex Big Data (Hadoop) and Cybersecurity products. What We Need: Proven experience as a Product Owner in an Agile environment. Strong stakeholder management skills. Basic understanding of cybersecurity ...

Technical Business Analyst will work closely with stakeholders and engineering teams to support the delivery of data platform solutions, including a major migration from Hadoop to Databricks. This is a client-facing role with real ownership, acting as the bridge between business needs and technical delivery. What … background in a technical or consultancy environment would be highly beneficial Nice to have Exposure to modern data platforms such as Databricks, Snowflake or Hadoop Experience working within financial services or other regulated industries Understanding of cloud-based data environments (AWS, Azure or GCP) Salary ...