1 to 25 of 325 Permanent Python Jobs in the North of England

managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines and architectures. Broad understanding of data warehousing, data lakes ...

Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio Strong working knowledge of Python for pipeline development, automation and tooling integration. Hands-on experience with Cloud Build and GitHub for version control and CI/CD. Highly Organised with strong ...

adoption of modern engineering practices and emerging technologies Requirements Essential Skills & Experience experience in Data Engineering or a related field Strong programming skills in Python and SQL Experience building scalable data-intensive systems and pipelines Understanding of modern software engineering best practices Excellent communication and collaboration skills Strong analytical ...

stack (Jira, Confluence, etc.) Key Requirements: Strong experience in DevOps, platform engineering, or infrastructure engineering Experience with one or more scripting/programming languages: Python PowerShell C#, Java or C++ Hands-on experience with: Infrastructure as Code (Terraform, Ansible, Packer) Containerisation and orchestration (Docker, Kubernetes) CI/CD pipelines ...

reporting processes Required Skills & Experience • Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline • Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications ...

Please Note: Any offer of employment is subject to satisfactory SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the ...

Work across Windows & Linux environments, including virtualisation (VMware) Manage artefacts, code quality, and release processes What You’ll Need Experience with scripting or development (Python, PowerShell, C#, Java, or C++) Strong CI/CD experience (Jenkins, GitHub Actions, TeamCity or similar) Knowledge of containerisation and orchestration tools Experience with cloud ...

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/ ...

agents and AI-powered automation solutions. Strong prompt engineering and AI evaluation experience. Experience implementing RAG architectures and semantic search solutions. Software Engineering Strong Python development skills. Experience with JavaScript and/or TypeScript. Experience building and integrating REST APIs. Understanding of software architecture, design patterns, and scalable development practices. ...

governance Security Privacy Compliance Skills & ExperienceEssential Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer) Strong programming skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit ...

Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep understanding of data warehousing concepts and best practices Experience designing and maintaining reliable, production-grade data pipelines Ability ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

from a wide range of technical backgrounds. The technology stack is flexible, but experience in some of the following is highly desirable: Programming Languages: • Python, C++, Go, Rust Cloud & DevOps: • AWS or other major cloud platforms • CI/CD pipelines • Docker, Kubernetes, Terraform • Monitoring and logging tools General: • Strong software ...

machine learning Support junior engineers and contribute to team capability development Contribute to internal innovation and continuous improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix ...

commerce, retail or FMCG environment • Familiarity with marketing data (Google Ads, Meta, email platforms etc.) and customer analytics advantageous – as is basic knowledge of Python or R • Basic SQL skills and understanding of data modelling • Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow) • Experience building ...

ability to work in cross-functional, stakeholder-heavy environments Experience in a senior or architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL ...

Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana ...

Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such ...

senior/practitioner level. Knowledge Essential Extensive knowledge with integration and transformation within Cloud Data Warehouses (e.g Azure, AWS, GCP) including languages such as Python, SQL, PySpark, Java Knowledge and experience with programming languages such as React, Typescript, Javascript is desirable. Skills and Experience Essential Able to design appropriate solutions ...

Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such ...

Strong analytical and problem-solving skills. Experience working with business data, reporting, and performance analysis. Knowledge of APIs, integrations, and workflow automation. Experience with Python, JavaScript, SQL, or similar technologies. Experience creating dashboards, reports, and performance metrics. Strong communication skills with the ability to engage non-technical stakeholders. Commercial awareness ...

Engineering or Mathematics) Proven experience delivering data science solutions in a commercial or business setting Strong expertise in one or more core programming languages (Python, SQL, R) Excellent communication and stakeholder influencing skills, with the ability to translate complex data into clear insights Confident taking the lead in cross-functional ...

knowledge sharing VP of Data Engineering | Requirements: Solid data engineering foundations — pipelines, data platforms, ingestion, transformation, and serving at scale Hands-on experience with Python and SQL in production environments Exposure to AI/ML workloads — you've built infrastructure that supports data scientists or ML engineers, even ...

Zero Trust security best practices Skills Required Strong AWS infrastructure experience Infrastructure as Code expertise CI/CD pipeline engineering Docker and Kubernetes Python, Bash, or PowerShell scripting AWS networking knowledge including VPCs and security groups Monitoring and logging experience Strong troubleshooting and problem-solving skills Experience working in secure ...

tools to improve development productivity and engineering workflows Cost optimisation and FinOps best practices Exposure to C# .NET environments Scripting experience with PowerShell, Bash, Python, or Bicep Linux administration experience, particularly Ubuntu Understanding of observability and monitoring platforms Awareness of business continuity and resilience principles Whats on Offer: Opportunity ...