1 to 25 of 7,047 Python Jobs in London

Collaborate with data scienceists, data engineers, and network domain experts to translate business requirements into robust software solutions. Develop backend services and APIs using Python and modern frameworks such as FastAPI, Flask, or Django. Design and implement containerised applications using Docker and Kubernetes. Build and maintain CI/CD pipelines … fostering a strong engineering culture. What you’ll bring Ess ent criteria: Strong commercial experience developing software applications using Python. Experience with modern Python frameworks such as FastAPI, Flask, or Django. Strong understanding of software engineering principles including testing, design patterns, maintainability, and code quality. Experience building and deploying applications ...

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 ...

problem-solving skills. Strong written and verbal communication skills in English. Ability to work independently and within distributed international teams. Programming Languages Technical Skills Python (Expert Level) C# JavaScript/TypeScript SQL AI & Machine Learning Machine Learning Deep Learning Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models ...

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 ...

evaluate AI architectures, and you can sit in a room with engineers and contribute — not observe. Our primary stack is Java and React, with Python supporting scripting, data pipelines, and AI/ML integrations. Our engineering philosophy is AI-native — we expect you to understand and leverage large language models … financial services environment. Technical Depth and Hands-On DeliveryPrototype solutions, contribute to technical design discussions, and validate approaches by building — using Java, React, or Python as the situation demands. Understand the current landscape of foundation models and make informed product decisions about when to use fine-tuning vs. RAG vs. ...

Lakehouse architecture Strong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilities Expertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworks Proven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patterns Experience designing large-scale analytical platforms ...

Structured Streaming, and Lakehouse architectureStrong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilitiesExpertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworksProven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patternsExperience designing large-scale analytical platforms supporting ...

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 ...

scope, acting as the key point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms ...

reliability, maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou ...

reliable and scalable systems that address business needs across diverse industries. This position requires deep expertise in software engineering concepts, advanced coding abilities (preferably Python and Typescript), and hands‐on experience with cloud deployments, databases, and containerisation (Docker). If this sounds like you, we can't wait to hear … architecting and maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards Support cloud‐based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting ...

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 ...

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 ...

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 ...

OpenAI, AWS Bedrock) Experience building scalable data products and analytics solutions Expert Power BI development, including semantic models and Power BI Service administration Expert Python development for data, analytics and automation Experience integrating REST APIs and multiple data sources Knowledge of traditional machine learning techniques, including tree-based models (e.g. ...

Code (IaC) using Terraform and/or Bicep with good understanding of Azure Resource Manager. Experience with scripting and automation using languages such as Python, Bash, or PowerShell. Solid understanding of CI/CD principles and experience with tools like Jenkins, Github Actions, GitLab CI, or Azure DevOps (ADO). ...

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 ...

Engineer or similar . Strong hands-on experience building and operating cloud-native data platforms . Strong programming experience using Java and/or Python . Hands-on experience with real-time streaming and event-driven architectures , including Kafka, Kinesis or equivalent. Experience with distributed data processing technologies such ...

consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Python Developer with significant data engineering experience to join a high-performing engineering team working on secure, data-intensive systems. The successful candidate will have … strong background in Python software development, data engineering and data processing, with experience designing, building and maintaining robust data pipelines and services within complex technical environments. RequirementsKey Responsibilities: Design, develop and maintain high-quality Python applications, services and data processing solutions. Build and optimise scalable ETL/ELT pipelines ...

consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Python Developer with significant data engineering experience to join a high-performing engineering team working on secure, data-intensive systems. The successful candidate will have … strong background in Python software development, data engineering and data processing, with experience designing, building and maintaining robust data pipelines and services within complex technical environments. Key Responsibilities: Design, develop and maintain high-quality Python applications, services and data processing solutions. Build and optimise scalable ETL/ELT pipelines ...

Management platforms, role‐based access control, or entitlement governance at scale Advanced proficiency in one or moreprogramming languages, frameworks, or platforms such as Go, Python, Java, Kubernetes or Terraform Practical cloud‐native experience building and operating services on at least one public cloud provider, such as Amazon Web Services, Microsoft ...

Senior Data Engineer Role (Python/Spark/Databricks) - Hybrid - Contract - Banking Role - Senior Data Engineer Rate - £850 p/d (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid/Liverpool Street (London) - 3 days per week in a Liverpool Street office About the Role Global financial … responsible for delivering critical data platforms and analytics capabilities across the business. This is a genuinely hands-on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise-scale data platforms ...

also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow … manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

using modern cloud-native data engineering technologies. Provide technical direction across data modelling, ingestion, transformation, orchestration and integration. Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments. Governance, Security & Quality Embed effective data governance, security, quality and access controls within cloud data environments. Ensure architecture decisions … another cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. Experience with modern ...