6 of 6 Hadoop Jobs in the City of London

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 ...

techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced ...

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 The process is fully structured, transparent, and efficient: Video call - high-level overview ...

Your new company Working for a renowned financial services organisation Your new role We're looking for a Senior Data Engineer to design and deliver scalable on prem, high-quality data solutions for low/ ...

build a new on-prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses … Data technologies. Experience designing and building on-prem data platforms, from high-level architecture to detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. ...

innovative thinking to support our data-driven initiatives. Key Responsibilities: Lead the design, development, and optimisation of enterprise data platforms using tools such as Hadoop, Spark, and Splunk. Develop and maintain robust ETL/ELT data pipelines to handle raw, structured, semi-structured, and unstructured data (SQL and NoSQL … ensuring service resilience and sustainability. Support continuous integration, delivery, and deployment (CI/CD) pipelines, incorporating source control practices. Qualifications: Extensive experience with Hadoop, Spark, and Splunk. Proficiency in Python scripting, with experience in handling various data formats. Strong background in building and optimising data pipelines and supporting ...