1 to 25 of 3,883 Remote/Hybrid Python Jobs in the UK

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 ...

architectures that power intelligent decision-making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using ...

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 ...

guidance to junior engineers.## What you’ll bring* Proven experience in data engineering with ability to work independently and take ownership of deliverables.* Strong Python and SQL skills, with experience building and optimising data pipelines.* Strong experience with Microsoft SQL Server and working with large, complex databases.* Strong experience designing … problem-solving mindset.* Ownership of deliverables and quality.* Leadership of small work packages.* Mentoring and knowledge sharing.* Proven experience in data engineering.* Strong Python and SQL skills.## Desirable:* Degree in STEM, Data, AI, or Programming-related field* Experience influencing technical decisions and supporting capability growth.* Experience with CI/ ...

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 ...

experience, please apply even if you don’t meet all the criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control ...

experience, please apply even if you don’t meet all the criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control ...

experience, please apply even if you don’t meet all the criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control ...

Apache AirflowAdvanced SQL skills, with expertise in query optimisation for large datasetsExpertise in developing APIs and robust backend services, with strong programming skills in Python, Java, and/or ScalaExceptional problem-solving abilities and the capacity to work independently or collaborativelyExcellent verbal and written communication skillsStrong sense of ownership ...

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 ...

reporting and analytics solutions using Microsoft Power BI and Microsoft Fabric. Build scalable data models, semantic models, dashboards, and self-service reporting capabilities. Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets. Collaborate with engineering and business stakeholders to identify performance trends, operational … including DAX, Power Query, semantic models, and dashboard design. Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. ...

reporting and analytics solutions using Microsoft Power BI and Microsoft Fabric. Build scalable data models, semantic models, dashboards, and self-service reporting capabilities. Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets. Collaborate with engineering and business stakeholders to identify performance trends, operational … including DAX, Power Query, semantic models, and dashboard design. Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. ...

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 ...

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). ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well ...

scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on-premises and third-party business systems. Strong hands-on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta Lake ...

grade code, contribute to secure platform patterns, and ensure that your data services run predictably in tightly governed Defence environments.* **Core Engineering** Expert level Python and strong foundations in software engineering such as object oriented design, automated testing and version control.* **Data Engineering Stack** Experience building pipelines using streaming frameworks ...

embedded into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

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 ...

query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning … #DigitalUKI Here’s what you’ll need AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark Python and/or Java Data quality, validation and monitoring Git, CI/CD and Agile delivery practices Experience being most Senior of Lead within ...

role in shaping the delivery of a critical part of our product. Typical responsibilities could involve; Design, build and maintain high quality python applications for customer facing reporting Maintain and develop data pipelines to ensure data quality and consistency Collaborate closely with analytics engineers to implement data model changes Apply … confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role): You are proficient in python programming with experience using Plotly graphing libraries and application development, experience with Flask and SQLAlchemy is a plus You have experience maintaining data pipelines, managing infrastructure ...

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 ...