1 to 25 of 4,564 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Bigtable, and Cloud SQL. Proficiency in Python and SQL, with experience in Spark or Apache Beam. Experience designing data warehouse and data lake architectures, including data modeling. Working experience with Terraform ...

Selection Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

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). ...

have some of the skills and experience listed below, don’t let that stop you from applying! Engineering and Data Engineering Hands-on Python experience Knowledge of cloud infrastructure like AWS, GCP or Azure Have used version control systems, specifically Git or similar tools Understanding of TDD and diverse testing ...

level and we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases ...

including writing complex queries, partitioning, clustering and cost-aware query optimisation . Experience of modern orchestration/ELT tooling, ideally Dagster and dbt. Strong Python for data engineering Solid understanding of data warehousing techniques; ETL/ELT processes and dimensional modelling. Experience designing data models and documentation that are usable ...

consultative approach, youre 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 a 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. Requirements Key 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 ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache … data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache … data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache … data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based ...

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 ...

teams. Design, build, test and deploy scalable batch and near-real-time data pipelines, reusable data products and analytics solutions on Snowflake using SQL, Python, Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. Deliver across the full data engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational … skills. Technical proficiency Experience developing or supporting cloud data warehouses using Snowflake and at least one of AWS, Azure or GCP. Proficiency in SQL, Python, data stack frameworks, integration libraries and orchestration tools, including Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. Knowledge of Snowflake architecture, stages, file formats, virtual warehouse ...

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. ...

closely related field. Proven experience designing and building scalable data pipelines (ETL/ELT) for batch and streaming use cases using modern technologies (e.g., Python, SQL, Spark, Flink, Airflow) and advanced knowledge on the workings of these. Hands-on experience in building and operating workloads Databricks. Hands-on experience creating ...