176 to 200 of 7,514 Python Jobs in the UK

drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilitiesDevelop workflows and ELT pipelines using Python and Databricks. Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data ...

Experience working with a public cloud such as Amazon Web Services (AWS) Strong experience using GitHub Actions within a CI/CD pipeline Solid Python knowledge Experience with front-end technologies such as JavaScript and Node Experience working with Web Application Firewall (WAF) technologies and Cloudflare features Solid working experience ...

automated CI/CD pipelines to support rapid, secure, and reliable software deployments. Implement and maintain Terraform-based infrastructure solutions across cloud environments. Develop Python-based tools, automation scripts, and utilities to support platform operations and data engineering requirements. Collaborate with development, testing, and data engineering teams within Agile delivery … role. Proven expertise in DevOps methodologies and CI/CD tooling. Strong hands-on experience with Terraform for Infrastructure as Code (IaC). Advanced Python programming skills for automation, scripting, and tool development. Experience working within Agile delivery environments. Experience conducting functional and non-functional testing. Strong knowledge of public ...

production-grade data services that operate reliably within highly governed Defence environments. What you’ll be doing: Building scalable data applications and pipelines using Python Developing streaming, event-driven and orchestrated data solutions Deploying and supporting containerised services in Kubernetes environments Implementing observability, monitoring and data governance best practices Leveraging … Owning solutions from design and development through to production support Delivering resilient data platforms within secure Defence environments What we’re looking for: Strong Python development and software engineering experience Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with ...

passionate about building scalable, high-performance data platforms. Previous ClickHouse experience is desired. We're looking for people with strong data engineering fundamentals, excellent Python and SQL skills, and experience working with large-scale financial or time series datasets. As part of a growing specialist team, you'll have … involved in the full lifecycle of delivering modern data platforms, including: Designing and implementing scalable data engineering solutions Building high-performance data pipelines using Python and SQL Working with large-scale financial and time series datasets Designing efficient data models and optimising analytical workloads Implementing ClickHouse across client environments Collaborating ...

architecture, and cloud/platform engineering. You’ll be designing, building, and guiding the delivery of modern software solutions using technologies such as Java, Python, C#/.NET and TypeScript , while working closely with engineering teams to ensure solutions are scalable, secure, and maintainable. It’s a strong … teams work more effectively and deliver greater value. What You'll Be Doing Design, build, and guide the delivery of software solutions using Java, Python, C#/.NET and/or TypeScript Develop cloud-native applications across AWS, Azure, or GCP Provide technical leadership on complex projects and programmes ...

packages to customers at scale; Automates CVE remediation and verification workflows; Powers AI‐driven package builds; Provides shared services across language ecosystems (Java, JavaScript, Python/AI/ML and beyond). What you’ll do: Lead the design and implementation of core components of the Libraries Platform including … services, pipelines, and package index that power secure, reproducible build, test, and distribution workflows for libraries across multiple ecosystems (Java, JavaScript, Python/AI/ML). Design and maintain automation for artifact creation, updates, and verification, including vulnerability scanning, remediation workflows, SBOM and provenance generation, and policy enforcement across ...

active hands-on contributor across DevOps, automation, infrastructure, and platform engineering initiatives.* Build and improve automated CI/CD pipelines for Java and Python applications across multiple environments.* Automate infrastructure provisioning, deployment, configuration, database schema creation, and operational workflows across cloud and on-prem platforms.* Support production systems with … with technical and non-technical stakeholders.* **Systems & Automation** + Linux/Unix administration, operational support, troubleshooting, and performance tuning. + Scripting/programming in Python, Bash, or similar. + CI/CD pipeline experience with Jenkins, GitLab, or similar. + Containerization and artifact publishing. + Infrastructure as code and configuration ...

track record of leading data projects in a fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … degree in Computer Science, Engineering, or a related field.3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Demonstrated experience with Infrastructure as Code ...

Azure Databricks, Azure Data Lake (ADLS), Azure SQL, Azure Synapse Analytics and Azure PaaS. Data Engineering: data ingestion, ETL/ELT, transformation, integration, SQL, Python and/or PySpark. Platform Engineering: Azure DevOps, CI/CD, monitoring, performance optimisation, security, governance and cost optimisation. Data Management: data governance, data quality … Factory, ADF, Azure Databricks, Databricks, Azure Data Lake, ADLS, Azure SQL, Azure Synapse, Synapse Analytics, Azure PaaS, ETL, ELT, Data Pipelines, Data Integration, SQL, Python, PySpark, Azure DevOps, CI/CD, Data Governance, Data Quality, Cloud Security, Microsoft Fabric, Power BI, Power Platform. ...

causes efficiently, and consider performance, scalability, and maintainability in your approach. Key Responsibilities Design and develop data pipelines, ETL processes, and backend services using Python Build interactive dashboards, data visualization tools, and web applications using React Develop RESTful APIs that connect data services to frontend applications Work with large-scale … engineers, data scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience with React (hooks, state management, component architecture) Experience building data pipelines and working with structured and unstructured data ...

testing ETL/ELT pipelines and cloud data platforms Strong SQL skills for data validation and reconciliation Experience with: PyTest REST API testing tools Python or PySpark GitLab/Azure DevOps pipelines Experience validating large-scale datasets and data transformations Knowledge of data warehousing concepts and dimensional modeling Understanding ...

Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. Analytical & Problem‐Solving Strength: Excellent problem … Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, TensorFlow etc. Skilled in application of MLOps frameworks within a production environment. Excellent communication skills, both verbal and written. ...

based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). Basic understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. Active use of AI coding tools in your current ...

queries, Excel formulas, macros, and VBA logic into controlled Dataiku processing frameworks. Partner with Dataiku engineers and developers to review application designs, integration components, Python code, SQL logic, reusable recipes, and deployment configurations. Dataiku Application and WebApp Architecture Lead the architecture and design of Dataiku applications and WebApps used … recipes, datasets, managed folders, scenarios, plugins, APIs, automation, and deployment processes. Experience designing metadata-driven and configuration-driven data-processing platforms. Strong knowledge of Python and SQL-based data solutions. Experience integrating Dataiku with databases, APIs, file systems, enterprise applications, workflow platforms, and reporting tools. Experience with PostgreSQL, Amazon ...

role: Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery. Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering. Build and operate ML feature pipelines - low-latency, real-time data … worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging. Fluent SQL - you can write complex queries, understand execution plans, and optimize ...

engineering best practice. Key ResponsibilitiesLead the design, development, and delivery of backend services and platform components using Java 8+/Spring Boot and Python/FastAPI. Build, enhance, and operate event-driven, real-time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data … financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices-based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud-native, distributed, scalable, and resilient systems. Hands-on experience ...

recovery (RPO/RTO), RBAC security model, LDAP integration, scalability of data and compute for the DSS platform. Deep understanding of enterprise use of python for platform automation and pandas for data engineering. Including defining protocol standards and monitoring for anti-patterns. Advanced use of SQL for data engineering … mentoring and coaching of junior staff through direct review of results and informal technical coaching. Core Technical Skills Dataiku Data Science Studio (DSS) Python Pandas SQL ETL principles and practices Git Jenkins Azure DevOps (ADO) Jira AWS (EC2, EBS, RDS, S3, EKS) Terraform Ansible CI/CD deployment and automation ...

ambiguous questions into well-defined analytical problems. Develop and implement data-driven solutions to solve real-world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … take an initially ambiguous question and determine an appropriate analytical approach. Ability to work on projects independently and own deliverables. Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software ...

ambiguous questions into well-defined analytical problems. Develop and implement data-driven solutions to solve real-world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … take an initially ambiguous question and determine an appropriate analytical approach. Ability to work on projects independently and own deliverables. Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software ...

recovery (RPO/RTO), RBAC security model, LDAP integration, scalability of data and compute for the DSS platform. Deep understanding of enterprise use of python for platform automation and pandas for data engineering. Including defining protocol standards and monitoring for anti-patterns. Advanced use of SQL for data engineering … mentoring and coaching of junior staff through direct review of results and informal technical coaching. Core Technical Skills Dataiku Data Science Studio (DSS) Python Pandas SQL ETL principles and practices Git Jenkins Azure DevOps (ADO) Jira AWS (EC2, EBS, RDS, S3, EKS) Terraform Ansible CI/CD deployment and automation ...

high-quality, reliable datasets What theyre looking for Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/ ...

successful in this role, you will need a blend of the following engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce ...

developing full stack applications using modern front-end and back-end technologies. Strong programming skills in languages such as JavaScript/TypeScript, Java, C#, Python, or Node.js. Experience with front-end frameworks such as React, Angular, or Vue.js. Experience building and consuming RESTful APIs and microservices. Knowledge of software engineering ...

commercial software engineering experience and a good understanding of modern development practices. You should have experience with several of the following: * Java, C#, .NET, Python, JavaScript, TypeScript or another relevant language * Object oriented programming and software design principles * SQL and database technologies * REST APIs and integrations * Git and source control ...