3 of 3 Python Engineer Jobs in East London

Software Engineer/Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing … Cybersecurity insurance markets. As a Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will … WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python software engineering skills You have a good understanding of working with data at scale and strong SQL skills (PostgreSQL, SQL Server and Databricks) You have experience of building FastAPIs More ❯

We are seeking a AWS Python Engineer to join a high-profile project with a Tier 1 bank . This is a contract position, inside IR35 , requiring 12 days per week onsite in London . Key Responsibilities Develop and maintain high-quality Python code for critical systems Work with AWS cloud-native technologies to deliver scalable solutions … Utilise Docker containers for deployment and integration Build and extend monitoring frameworks that integrate with model execution Contribute to technical interviews, demonstrating strong coding expertise Required Skills & Experience Proven Python coding ability (must pass live technical interview) Hands-on experience with AWS services (cloud-native solutions) Containerisation skills, ideally with Docker Strong problem-solving ability and ability to work More ❯

a focus on all data quality dimensions and integratemetrics with centralized tools that measure data products quality and reliability in the organization Qualifications Understanding of data engineering (including SQL , Python , Data Warehousing , ETL , Dimensional Modelling , Analytics ) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and More ❯