1 to 25 of 7,655 Python Jobs in London

platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain Delta Lake storage architectures and Unity Catalog governance frameworks … architectures, data lakes, and enterprise data warehouses Expert-level proficiency in SQL for complex data transformation, optimization, and analytical workload development Advanced proficiency in Python for data engineering, pipeline automation, and integration development Deep expertise in PySpark for data processing and transformation Proven mastery of cloud platforms with strong preference ...

platforms (Azure preferred), leveraging Databricks as the core data engineering platform• Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory• Implement and maintain Delta Lake storage architectures and Unity Catalog governance frameworks … including medallion architectures, data lakes, and enterprise data warehousesExpert-level proficiency in SQL for complex data transformation, optimization, and analytical workload developmentAdvanced proficiency in Python for data engineering, pipeline automation, and integration developmentDeep expertise in PySpark for data processing and transformationProven mastery of cloud platforms with strong preference for Microsoft ...

team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design … results-oriented environment and owning the technical direction for the team's deliverables.Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow.Lead the extraction, transformation and loading (ETL) of large and complex ...

team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design … oriented environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large ...

team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design … oriented environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large ...

Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration ...

Architect, or Technical Design Authority, with responsibility for architecture, solution governance, and technical decision making.Demonstrable experience leading offshore engineering teams.Strong hands-on expertise in Python, PySpark, and SQL.Experience designing & delivering enterprise Generative AI & Agentic AI solutions including AI Agents, RAG, Vector Search, LLM Orchestration and AI governance.Experience designing & delivering production ...

business problems into data, analytical and technical tasks, with support from senior colleagues. Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event‐driven patterns, including building semantic models for analytics and visualisation. Contribute … Looking For Core Data & Technical Skills Experience translating business questions into data or analytical requirements, with guidance where needed. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience working with data models in data warehouses, lakehouse environments or analytics tools such as Power BI. Familiarity with ...

Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. Microservices & APIs: experience building modular, production‐grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design principles including versioning, fault tolerance, and observability. Cloud platforms: working knowledge of cost and usage data schemas … across Azure (Cost Management, Synapse/Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure ...

equivalent practical experience. Minimum 8 years of experience in backend development, with a strong focus on building scalable, high-performance systems. Technical Skills: Python expertise, with hands‐on experience building backend services and APIs using FastAPI, Flask or similar. Experience in designing and developing end-to-end (E2E) tests ...

engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions. Strong experience with cloud data warehouses, ideally BigQuery, and a good working knowledge ...

enterprise-scale Databricks implementation from design through production deployment. Proven experience developing and supporting production-grade data pipelines and data products. Strong proficiency in Python or Scala for data engineering. Experience working directly with business and technical stakeholders to gather requirements and communicate solution approaches. Strong analytical, problem-solving ...

least one enterprise-scale Databricks implementation from design through production deployment.Proven experience developing and supporting production-grade data pipelines and data products.Strong proficiency in Python or Scala for data engineering.Experience working directly with business and technical stakeholders to gather requirements and communicate solution approaches.Strong analytical, problem-solving and troubleshooting skillsPreferredDatabricks ...

seeking a senior Python Developer within Risk Technology to join a multi-year strategic initiative: the design and delivery of AI-enabled automation across the end-to-end quantitative model lifecycle, covering all market risk and credit risk models. This is a hands-on engineering role at the core … data engineers, and the program leadership to translate workflow automation requirements into robust, production-grade solutions. Key Responsibilities Engineering & Delivery Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families. Build and operate automated testing ...

99436955280Posted: 2026-09-09Location: London, England, United KingdomCategory: Technology, Applications Development, ProfessionalCompany: CitiWe are seeking a senior Python Developer within Risk Technology to join a multi-year strategic initiative: the design and delivery of AI-enabled automation across the end-to-end quantitative model lifecycle, covering all market risk … analysts, model validators, data engineers, and the program leadership to translate workflow automation requirements into robust, production-grade solutions.Key ResponsibilitiesEngineering & DeliveryDesign, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families.Build and operate automated testing ...

this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job title: Senior Software Engineering (Python/C#/.NET, Data & Database Platforms) Location : London (2/3 days per week onsite) Contract: 12 months with possible extension Rate : £600 - £650 inside IR35 … Role Overview We are seeking an experienced Software Engineering professional with strong expertise in Python, C#/.NET, enterprise data platforms, and database technologies. This role combines hands-on technical leadership with ownership of strategic technology initiatives supporting business-critical data and analytics capabilities. Key Responsibilities Technical Leadership Lead ...

DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation … monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation – CI/CD using Azure DevOps, GitHub Actions, YAML pipelines. Scripting – Python, PowerShell. Monitoring – Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing – SQL skills for debugging, data validation, and optimization; experience with Azure ...

cloud and on-premises data sources. Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema-change … grade Fabric implementation. Strong Microsoft Fabric experience across OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks and Dev/Test/Production workspace patterns. Advanced SQL, Python and PySpark, with practical experience of Delta/Parquet, medallion architecture and production-grade batch/incremental ETL/ELT. Strong Git and CI/ ...

observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior … platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default ...

Logic Apps Azure Stream Analytics Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of software development practices, such as SOLID principals ...

deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools … real-world problems. Experience of coaching junior data scientists/analysts. Experience in reviewing code and documentation to a high standard. Experience in using Python (pandas, numpy, scikit-learn). End-to-end experience of managing multiple data science and analytics projects in different industries and with different types ...

deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI.Development and delivery of new and innovative data science and machine learning tools and solutions … original solutions to real-world problems.Experience of coaching junior data scientists/analysts.Experience in reviewing code and documentation to a high standard.Experience in using Python (pandas, numpy, scikit-learn).End-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data ...

monitoring, observability, exception management, and automation across Market Data and Integration workflows.The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior … based data platforms.Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation.Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps ...

observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior … platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default ...

using PySpark within Databricks environments.Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries.Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...