Knowledge and experience required Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. Experience working with large-scale data processing and distributedcomputing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data More ❯
markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributedcomputing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯
data architecture. Required Skills & Experience Technical Expertise Extensive experience with Azure Data Services: Data Factory, Databricks, Synapse, Data Lake, Azure SQL. Strong understanding of data modeling, data warehousing, and distributed computing. Proficiency in Python, SQL, and Spark for data engineering tasks. Financial Services Domain Proven track record of delivering data solutions within banking, insurance, or investment sectors. Familiarity with More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Tenth Revolution Group
Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow More ❯
