51 to 75 of 9,359 Python Jobs in the UK

Jenkins, Spinnaker, Bitbucket, GitHub, etc.). Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes. Programming skills in Golang or Python, with understanding of software development best practices. Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.). Experience with logging and monitoring tools (Splunk ...

business, on which we build AI agents and custom applications. Role overview We’re looking for an experienced full-stack developer with deep Python expertise to architect, build and deliver bespoke software for our clients. You’ll own projects across the full development lifecycle, from solution design through to deployment … every application we deliver is robust, secure and efficient. Required qualifications Technical leadership and architecture Substantial experience in application development and systems architecture, with Python as your primary language. Experience leading the full software development lifecycle, from planning and solution architecture through to deployment and post-production optimisation. The ability ...

coding Build data pipelines for data throughout the Azure Data Platform stages, integrating data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python) Develop data sets which are optimised for their given use case, e.g. self-service analytics Migrate data from legacy reporting solutions onto the Azure Data … workload management (Metadata Driven Ingestion). Good working experience of database technologies and database integration, such as SQL, Postgres, MySQL or Oracle. Experience in Python (PySpark) Experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities using Microsoft DevOps and Git repositories. Good numerical ...

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. ...

quality performance, identify trends and risks, and drive data-driven continuous improvement across engineering. You will gain practical experience in data analytics, data engineering, Python development and automation, while helping to identify root causes of quality issues, improve efficiency and optimise engineering processes. This is an excellent opportunity … reports and analytical solutions to monitor quality performance, identify trends and risks, and provide actionable insights to engineering teams. Use programming languages such as Python and SQL to analyse data, automate repetitive tasks and optimise existing processes. Analyse engineering and quality data to identify recurring issues, investigate root causes ...

solution whilst leading a project. Required Tools and Technologies: Microsoft Azure and cloud computing concepts Apache Spark - Databricks, Microsoft Fabric or another Spark engine Python - we build most of our solutions in Python SQL - writing complex high-performance queries, understanding how queries execute on different compute technologies Azure Data Factory … essential: Visualisation Tools - Power BI, Tableau Streaming Data - Azure Stream Analytics, Event Hubs, IoT Hubs Building parallel systems - Distributed compute engines Azure Functions - Python, C# Skills and Approaches: Requirements gathering and client consulting Agile project management Understanding of OO Development Practices ETL Approaches - Data Quality, Resilience, Observability Understanding ...

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. ...

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 ...

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 ...

Platforms – Develop and support cloud data solutions using services such as S3, Glue, Redshift, Redshift Spectrum, Lambda and IAM Data Transformation – Use SQL and Python to transform, validate and prepare data for reporting, analytics and downstream applications Data Modelling – Design and maintain robust data models, including dimensional models, fact ...

performance, reliability and cost efficiency through troubleshooting and automation, and keep documentation clear. What skills we would like you to have Working knowledge of Python, SQL or similar data processing languages. Some exposure to Spark or Databricks through work, study, training or projects. Awareness of Delta Lake, notebooks and workflows ...

Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale Strong SQL expertise and software engineering experience using Python and/or other modern programming languages. Experience developing and orchestrating data pipelines using technologies such as DBT, Apache Spark, Airflow, Dagster, Kafka, Flink ...

backlog refinement. Contribute to CI/CD pipeline development and automation initiatives. Support application deployments, monitoring, and operational excellence activities. Desirable Skills Experience with Python, Java, or other programming languages. Experience with cloud platforms such as Azure, AWS, or GCP. Knowledge of containerisation technologies such as Docker and Kubernetes. Experience ...

engineering (or 3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management ...

engineering (or 3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management ...

Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile ...

Knowledge of testing frameworks and automated testing practices. Experience working within Agile/Scrum delivery environments. Strong problem-solving and debugging skills. Experience with Python, Java, or other programming languages. Experience with cloud platforms such as Azure, AWS, or GCP. Knowledge of containerisation technologies such as Docker and Kubernetes. Experience ...

Event Hubs. Serverless and event-driven data processing architectures. Data lake, lakehouse and modern data platform architectures. Self-service data ingestion and ETL frameworks. Python, SQL or other data engineering languages. Data governance, lineage, metadata management and data quality. Experience with large-scale or highly regulated data environments. Experience delivering ...

Working closely with clients and multidisciplinary teams to solve complex data challenges What We’re Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands‐on experience with ...

other ad-hoc duties as required. Skills and Experience Strong understanding of data engineering principles, data architecture, and cloud-based data platforms. Proficient in Python (PySpark) and SQL for building and optimising data transformations at scale. Strong hands-on Databricks experience. Experience with Azure data storage technologies (Azure SQL, Data ...

problem solving, leading with empathy• Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversationGeneral• Strong scripting ability (Python plus one systems language such as Go or Rust, or Bash)• Experience with financial services, insurance, or other regulated-industry engineering is a strong plus ...

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 ...

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 ...

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 ...