201 to 225 of 320 AWS Jobs in the Midlands

and translating business requirements into relevant solution design artefacts. A track record in contributing to strategy and executing transformation initiatives, with hands-on involvement in business change efforts leveraging AWS and/or Microsoft Azure cloud ecosystems. Proficient in integrating various products and cloud services within these dynamic environments. Dynamic leadership, motivational prowess, and strong interpersonal skills that enables seamless More ❯

can bridge technical and business perspectives 🔧 Desirable: Experience in housing or public sector Knowledge of ActiveH or similar housing systems Understanding of data governance and reporting implications Exposure to AWS in hybrid cloud environments Agile delivery experience in cross-functional data teams 📍 Details: Location: Hybrid - 1-2 visits/month to a West Midlands office Rate: Up to £600/ More ❯

s 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You'll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock More ❯

and a Microsoft 365 fundamentals qualification Get an introduction to Windows, Linux and PowerShell Tools and technologies learned: Learners will learn to use Microsoft Azure, Microsoft 365, Windows 10, AWS, Linux, PowerShell. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Information communications technician (level 3) Training Provider QA LIMITED More ❯

and a Microsoft 365 fundamentals qualification Get an introduction to Windows, Linux and PowerShell Tools and technologies learned: Learners will learn to use Microsoft Azure, Microsoft 365, Windows 10, AWS, Linux, PowerShell. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Information communications technician (level 3) Training Provider QA LIMITED More ❯

Understanding of how to apply encryption, rights management, and role-based access controls to prevent data leakage. Cloud Security: Experience applying DLP controls in cloud environments (e.g., Microsoft 365, AWS, Azure) using cloud-native or third-party tools. Experience Communication Skills: Ability to explain complex security topics to non-technical stakeholders Policy Development: Skilled in drafting practical, enforceable data protection More ❯

negotiate these with customer architects. • Can prioritise non-functional concerns for customers and has experience incorporating these into the application design. • Has experience with public cloud platforms, such as AWS and Azure, including SaaS and PaaS offerings. • Able to simply and clearly communicate technical design in conversation, documentation and presentations. • Able to make effective decisions within fast-moving delivery. • We More ❯

IDS/IPS, and other security appliances Experience with load balancing technologies and strategies Familiarity with wireless networking standards and equipment Understanding of cloud networking concepts and services (e.g., AWS, Azure, GCP) Knowledge of Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) Proficiency with network monitoring and management tools (e.g., SolarWinds, Nagios Proficient in ITIL best practices for incident More ❯

Candidate Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with More ❯

Candidate Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with More ❯

just day-to-day support. Strong knowledge of Cisco, SD-WAN, VLAN, Static & Dynamic Routing, Azure vWAN . Experience with Avaya telephony (desirable but not essential). Familiarity with AWS, Zscaler, SolarWinds, Sentinel . Ability to write and maintain technical documentation . Experience working in large, complex organisations with supplier management exposure. Strong problem-solving and communication skills , with the More ❯

just day-to-day support. Strong knowledge of Cisco, SD-WAN, VLAN, Static & Dynamic Routing, Azure vWAN . Experience with Avaya telephony (desirable but not essential). Familiarity with AWS, Zscaler, SolarWinds, Sentinel . Ability to write and maintain technical documentation . Experience working in large, complex organisations with supplier management exposure. Strong problem-solving and communication skills , with the More ❯

skills. Requirements: C# Knowledge of developing 3D or CAD applications Strong background in Mathematics, Engineering, Physics or Gaming Industry Technologies used: C# and ASP.Net Core Open Cascade SQL Server AWS - Neptune/Dynamo/Postgres The Company This is a truly exciting, unique and innovative specialised software provider run by individuals who are passionate and open minded about technology and More ❯

Peer Recognition Portal called Applaud. You will have opportunities to create value through technology, contribute to a sustainable and inclusive future, and access extensive training, including external certifications from AWS, Microsoft, Harvard ManageMentor, and more. Why consider Capgemini Joining Capgemini means working with a global leader in digital and sustainable transformation. You will be part of a diverse, innovative community More ❯

IT (or equivalent knowledge/experience) Basic Linux knowledge and a willingness to learn more Solid experience with Windows OS and user support Familiarity with cloud platforms such as AWS, Azure, or similar A quick grasp of new technical concepts and tools Analytical thinking and a proactive, problem solving mindset A focus on delivering excellent customer service and support Salary More ❯

transformation for consumer risk data systems, across Barclays UK Risk portfolio. If you have experience leading data integration and building analytical data platforms on enterprise data technologies like Hadoop, AWS cloud platform, or the like in an Agile working environment, then this role is for you. To be successful as a Data Engineering Lead, you should have: Deep understanding and More ❯

towards TOGAF v9+ Required experience: To be successful in this role you will need to have the following experience: Excellent understanding of Cloud hosting solutions (including hybrid integration) specifically AWS & Azure. Thorough knowledge of authentication and access control, including Active Directory, SAML, LDAP and IAM. Strong understanding of future developments in cloud computing and experience of re-platforming and Transformation. More ❯

towards TOGAF v9+ Required experience: To be successful in this role you will need to have the following experience: Excellent understanding of Cloud hosting solutions (including hybrid integration) specifically AWS & Azure. Thorough knowledge of authentication and access control, including Active Directory, SAML, LDAP and IAM. Strong understanding of future developments in cloud computing and experience of re-platforming and Transformation. More ❯

the perfect match? Minimum five years proven, hands-on experience as a Data Architect. A strong understanding of SQL, database design, and data architecturing. Knowledge and experience of Amazon Web Services is essential with a strong understanding of cloud based design particularly within AWS. Be comfortable with taking ownership of complex data models within data engineering projects, and develop appropriate More ❯

in data modelling, metadata management, and data governance Strong SQL experience is essential Strong data mapping experience Strong Data-warehousing and design principals experience Familiarity with cloud platforms (e.g., AWS Redshift) Background in finance-related data environments is advantageous. **Please apply if you have the above skill-set** Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an More ❯

in healthcare IT is highly preferred. Enterprise Architecture Framework certifications such as TOGAF. Knowledge of systems development methodology, programming, analysis, and troubleshooting. Proficiency in Microsoft Office Suite. Experience with AWS implementation and cloud technologies, including architecture, migration, and optimization. Experience with data centers, databases, data modeling, business strategy, auditing, and compliance. Familiarity with enterprise architecture frameworks and tools. Effectively prioritize More ❯

by the team. What You Will Bring: • Experience designing applications in programming languages such as Python. • Knowledge of building data systems, pipelines, and validation processes in cloud platforms like AWS or Google Cloud. • Strong data analysis skills, including hypothesis testing, uncertainty analysis and process variation. • Technical understanding of physical measurement equipment and its applications. • Proven ability to create and present More ❯

and methodical work habits Team player with a proactive mindset Willingness to learn and adapt to new technologies Desired skills Experience with MacOS or Linux Knowledge of cloud services (AWS) Scripting knowledge (PowerShell, Bash) Certifications (CompTIA A+/Network+, Microsoft MCP/MCSA, etc.) Experience IT support experience, including at least 1 year at Level 2 Benefits Collaborative working environment More ❯

in a natural science, mathematical or engineering or computing discipline. - Designing applications in different programming languages (preferable Python) - Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud). - Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. - Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions. - Develop Key More ❯

in a natural science, mathematical or engineering or computing discipline. - Designing applications in different programming languages (preferable Python) - Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud). - Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. - Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions. - Develop Key More ❯