1 to 25 of 111 Permanent Python Jobs in Scotland

Oracle Cloud Infrastructure (OCI) and Azure. Proficiency in version control and DevOps tools like GitHub, Git Actions, Jenkins, Terraform. Programming and Scripting skills in SQL, PL/SQL, Java, Python, Shell Scripting. Experience with data and reporting tools such as Oracle Analytics Cloud, Power BI, Tableau. Understanding of security and compliance standards including OAuth2, SAML, RBAC, encryption standards. We are More ❯

with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and More ❯

Snowflake, and related platforms. Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling. Good Scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance, and agile delivery methodologies.About the department We are proud to be a Disability Confident Committed employer. If you have a disability and More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

/CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management experience, with the ability to oversee and challenge third-party suppliers. ** Someone who More ❯

Terraform, and other DevOps tools for source control, code reviews, and CI/CD pipeline implementation. Proficiency in programming and Scripting languages such as SQL, PL/SQL, Java, Python, and Shell Scripting. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯

or a related technical field (or equivalent practical experience). 0-1 years of experience (including internships) in Machine Learning, Data Science, or Software Engineering. Strong programming skills in Python and an understanding of core machine learning principles and model development. Familiarity with data manipulation and processing using modern analytical or engineering tools. Demonstrated ability to learn and adapt to More ❯

CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management experience, with the ability to oversee and challenge third-party suppliers. ** Someone who More ❯

CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management experience, with the ability to oversee and challenge third-party suppliers. ** Someone who More ❯

knowledge and hands-on experience of IaaC with Terraform Solid knowledge and hands-on experience of Helm Solid knowledge and hands-on experience of automation scripting languages such as Python or Bash Solid communication, stakeholder management, and presentation skills Strong analytical and troubleshooting skills Skills that will help you in the role: Experience with HashiCorp Vault Experience with Jenkins for More ❯

a bonus if you have but not essential Experience as a Cyber Security Engineer, Cyber Security Analyst with an interest in becoming a Cyber Security Engineer. Experience with Terraform, Python, Javascript/Node.js, PowerShell or Bash Knowledge of infrastructure and application monitoring, such as Icinga, Elastic Stack or Dynatrace. Endpoint Security certifications (especially Microsoft centric) would be advantageous. Proven ability More ❯

exposure to different languages and frameworks - it's a great learning environment, where you'll never stagnate or feel bored. The tech stack commonly includes .NET, TypeScript, React.js, Node.js, Python, AWS, and Azure , and they're strong advocates for modern DevOps practices ( Bicep, Terraform, Kubernetes etc.). Anyone with experience or a genuine interest in these areas would be a More ❯

exposure to different languages and frameworks - it's a great learning environment, where you'll never stagnate or feel bored. The tech stack commonly includes .NET, TypeScript, React.js, Node.js, Python, AWS, and Azure , and they're strong advocates for modern DevOps practices ( Bicep, Terraform, Kubernetes etc.). Anyone with experience or a genuine interest in these areas would be a More ❯

as it grows Writing clean code and instilling best practices wherever possible Knowledge and Experience: Strong software development skills with Java and ideally any of the following: JavaScript/Python/C#/C++/Kotlin Strong grasp of data structures and algorithms such as HashMaps/HashTables Knowledge of "under the bonnet" areas such as garbage collection, memory and More ❯

as it grows Writing clean code and instilling best practices wherever possible Knowledge and Experience: Strong software development skills with Java and ideally any of the following: JavaScript/Python/C#/C++/Kotlin Strong grasp of data structures and algorithms such as HashMaps/HashTables Knowledge of "under the bonnet" areas such as garbage collection, memory and More ❯

at least 2 years in a leadership role (team lead, tech lead, or manager). Demonstrated success in delivering SaaS applications. Modern web technology stacks (e.g., React, Node.js, Go, Python, PostgreSQL) APIs and communication protocols (REST, WebSockets, MQTT) Cloud and DevOps tools (AWS services such as Lambda, ECS, S3, RDS, along with Docker, Terraform, GitHub, Jenkins, etc.) Comfort in working More ❯

at least 2 years in a leadership role (team lead, tech lead, or manager). Demonstrated success in delivering SaaS applications. Modern web technology stacks (e.g., React, Node.js, Go, Python, PostgreSQL) APIs and communication protocols (REST, WebSockets, MQTT) Cloud and DevOps tools (AWS services such as Lambda, ECS, S3, RDS, along with Docker, Terraform, GitHub, Jenkins, etc.) Comfort in working More ❯

Understanding of Agile delivery and collaborative development in an Asset Management or Finance Technology environment Experience in SQL Exposure to cloud platforms such as Azure and Snowflake Understanding of Python for data engineering and transformation Familiarity with DevOps tooling and CI/CD pipelines Strong foundation in software development practices, including unit testing, code deployment and production support We are More ❯

/Import). Experience working with Git-based modelling workflows and PR reviews via Tabular Editor. Excellent design intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation More ❯

/Import). Experience working with Git-based modelling workflows and PR reviews via Tabular Editor. Excellent design intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation More ❯

data privacy regulations (e.g. GDPR), and data security best practices. Special Aptitudes Desirable Experience with geospatial data preparation and related tools. Knowledge and experience of programming languages such as Python, Java, or Scala. Good knowledge of machine learning principles and their application in data engineering. The Digital Division has more than 350 staff across 14 locations, supporting the technological provision More ❯

data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand what it takes to design data systems that are scalable , reliable and built for the long haul. In return, they are More ❯