Methods Business and Digital Technology Limited
Gloucester, Gloucestershire
Senior Data Engineer (contract) On-site 5 days. Outside IR35 - £500 - £600 The Role We're looking for a Senior Data Engineer to join our team on a permanent basis. You'll design, build, and manage complex data infrastructure across hybrid on-premises and Azure cloud environments, enabling scalable, secure, and high-performing data operations. What You'll Do Build and maintain robust data pipelines (Python/Go/Azure Data Factory) for streaming and batch processing Implement hybrid cloud and storage solutions (on-prem + Azure) Work with Docker, GitHub and Kubernetes for containerisation and orchestration Automate workflows and data flows with Azure Data Factory Manage Real Time data streams with Kafka/NATS Ensure security and compliance using Keycloak and best practice access controls Design and optimise PostgreSQL and Elasticsearch databases What We're Looking For Strong Python skills for automation and data engineering Hands-on ETL/ELT experience in hybrid environments Proven expertise in hybrid cloud data architecture (on-prem + Azure) Solid containerisation/orchestration experience (Docker, GitHub, Kubernetes) Practical knowledge of Azure Data Factory Event streaming experience (Kafka/NATS) Understanding of security practices across multi-platform environments Strong database development (PostgreSQL, Elasticsearch) Nice to Have 5+ years' data engineering experience across cloud and on-prem Azure or related certifications Some DevOps engineering exposure Clearance This role requires Security Clearance (ACTIVE SC).
Oct 31, 2025
Contractor
Senior Data Engineer (contract) On-site 5 days. Outside IR35 - £500 - £600 The Role We're looking for a Senior Data Engineer to join our team on a permanent basis. You'll design, build, and manage complex data infrastructure across hybrid on-premises and Azure cloud environments, enabling scalable, secure, and high-performing data operations. What You'll Do Build and maintain robust data pipelines (Python/Go/Azure Data Factory) for streaming and batch processing Implement hybrid cloud and storage solutions (on-prem + Azure) Work with Docker, GitHub and Kubernetes for containerisation and orchestration Automate workflows and data flows with Azure Data Factory Manage Real Time data streams with Kafka/NATS Ensure security and compliance using Keycloak and best practice access controls Design and optimise PostgreSQL and Elasticsearch databases What We're Looking For Strong Python skills for automation and data engineering Hands-on ETL/ELT experience in hybrid environments Proven expertise in hybrid cloud data architecture (on-prem + Azure) Solid containerisation/orchestration experience (Docker, GitHub, Kubernetes) Practical knowledge of Azure Data Factory Event streaming experience (Kafka/NATS) Understanding of security practices across multi-platform environments Strong database development (PostgreSQL, Elasticsearch) Nice to Have 5+ years' data engineering experience across cloud and on-prem Azure or related certifications Some DevOps engineering exposure Clearance This role requires Security Clearance (ACTIVE SC).
Methods is looking to hire a SC cleared Data Scientist in London. Daily rate: £400 to £450 outside IR35 Location: hybrid; 1day/w onsite in London Duration: 6 months with possible extension Clearance: must hold active SC clearance Requirements: Strong experience with Python and core libraries for data science (eg, pandas, NumPy, scikit-learn) Ability to manipulate and analyse large, complex datasets with attention to detail Experience with SQL, NoSQL, and graph databases. Familiarity with machine learning application. Familiarity of Natural Language Processing (NLP) techniques. Understanding of big data technologies, cloud storage, containerisation, and analytics engines. Clear, confident communicator who can explain analytics and influence commercial decisions
Oct 02, 2025
Contractor
Methods is looking to hire a SC cleared Data Scientist in London. Daily rate: £400 to £450 outside IR35 Location: hybrid; 1day/w onsite in London Duration: 6 months with possible extension Clearance: must hold active SC clearance Requirements: Strong experience with Python and core libraries for data science (eg, pandas, NumPy, scikit-learn) Ability to manipulate and analyse large, complex datasets with attention to detail Experience with SQL, NoSQL, and graph databases. Familiarity with machine learning application. Familiarity of Natural Language Processing (NLP) techniques. Understanding of big data technologies, cloud storage, containerisation, and analytics engines. Clear, confident communicator who can explain analytics and influence commercial decisions