15 of 15 Hadoop Jobs in London

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 ...

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 ...

optimised for GenAI workloads. Strong knowledge of data modelling, ETL processes, SQL, and scripting languages such as Python. Experience with Big Data technologies (e.g., Hadoop, Spark) and data visualisation tools (e.g., Tableau, Power BI). Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Experience ...

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 ...

control trials to validate model performance and business impact. Perform data analysis on structured and unstructured datasets using Python, SQL, and big data frameworks (Hadoop, PySpark). Develop and optimize data retrieval systems using RAG, FAISS, Elasticsearch, and other retrieval algorithms. Implement time-series forecasting and anomaly detection ...

manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib ...

PyTorch, TensorFlow, XGBoost, LightGBM Data Manipulation: Pandas, NumPy, LangGraph MLOps & Orchestration: MLflow, Apache Airflow Databases: Neo4j, MongoDB API Development: FastAPI Big Data (Beneficial): Apache Hadoop, Apache Spark (PySpark) What We Need From You 5-8 years of hands-on experience developing and deploying ML and/ ...

Boot) for data engineering and services. Proven background working within financial services environments. Hands-on experience building and managing Apache Airflow/Spark and Hadoop clusters. Deep experience in big data engineering, including Hadoop, Kafka, and Spark-based data pipelines. Strong SQL/RDBMS experience: PostgreSQL, SQL Server. ...

haven't been siloed in a big firm then don't worry. Additional exposure to the following is desired: - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home ...

haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home ...

junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). The Role As a Tech Lead , you will play a critical role in designing, building, and maintaining data pipelines and infrastructure that enable … junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data ...

data solutions, with a focus on innovation, resilience, and regulatory compliance. Key Responsibilities: Lead and develop robust data engineering platforms leveraging technologies such as Hadoop, Spark, and Splunk. Design, implement, and maintain scalable ETL/ELT data pipelines for diverse data types, including raw, structured, semi-structured, and unstructured … industry groups and vendor interactions to influence and adopt emerging technologies and standards. Qualifications and Skills: Extensive experience with big data frameworks such as Hadoop, Spark, and Splunk. Strong scripting capabilities in Python, with experience in object-oriented and functional programming paradigms. Proven expertise in handling varied data formats ...

generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using … Ensure scalability, security, and compliance of AI systems. Required Skills: Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree ...

Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimise strategies. Creative Freedom: Open collaboration … either engineering or analytical roles. Passion for being hands-on and contributing to a collaborative engineering culture. Nice to Have Experience with on-prem Hadoop and Kubernetes. Familiarity with AWS cost management and optimisation tools. Knowledge of front-office developer workflows in financial services. ...

Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimise strategies. Creative Freedom: Open collaboration … Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small engineering team. Nice to Have Experience with on-prem Hadoop and Kubernetes. Familiarity with AWS cost management and optimisation tools. Knowledge of front-office developer workflows in financial services. ...