1,826 to 1,850 of 3,623 Permanent Digital & IT Jobs

database performance knowledge. • Strong SQL experience. • Experience with C# .NET. • Experience with batch processing. • Experience performing unit testing and system testing. • Experience with Azure DevOps (ADO). • Ability to troubleshoot complex technical issues and work through ambiguous scenarios. Preferred Qualifications • Accounting systems experience. • Payroll systems experience. • VSAM experience. ...

Experience configuring, supporting, troubleshooting SDN technologies such as Cisco ACI or VMware NSX Working understanding of Cloud networking solutions and principles i.e. (Azure Networking, AWS networking) Use of automation tooling such as Ansible and Terraform Experience in programming/scripting (BASH, Python, PowerShell, etc) If you're interested ...

Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools ...

OSCP, GPEN, GWAPT, CEH, or comparable credentials. Experience conducting penetration testing within enterprise technology environments. Familiarity with cloud security testing across AWS, Azure, or Google Cloud. Scripting or automation experience with Python, PowerShell, Bash, or similar languages. Exposure to vulnerability management, security assessments, or broader cybersecurity risk reduction ...

OSCP, GPEN, GWAPT, CEH, or comparable credentials. Experience conducting penetration testing within enterprise technology environments. Familiarity with cloud security testing across AWS, Azure, or Google Cloud. Scripting or automation experience with Python, PowerShell, Bash, or similar languages. Exposure to vulnerability management, security assessments, or broader cybersecurity risk reduction ...

strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou ...

hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems ...

Experience in developing and deploying AI/ML models using Python. Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS. Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area. What Would Be Nice To Have : THREE ...

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud-based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives Experience working within agile, cross-functional product ...

Python, PySpark or Spark SQL, enough to read pipeline code and trace transformations Databricks, including Unity Catalog and medallion (bronze-silver-gold) architecture Azure or AWS data services (e.g. Data Factory, Synapse, S3, Glue, Redshift) Data testing tools such as dbt tests, Great Expectations or Soda YAML-based ...

data Strong UI/UX capabilities for dashboard development Familiarity with PowerApps Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google) Experience performing analytics and data transformation using Python and R Ability to gather requirements and present to clients with strong written ...

data Strong UI/UX capabilities for dashboard development Familiarity with PowerApps Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google) Experience performing analytics and data transformation using Python and R Ability to gather requirements and present to clients with strong written ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

handoff through testing, launch and ongoing operations. Technical fluency across APIs, S2S integrations, tagging, data flows, cloud environments such as AWS, GCP or Azure, and data-ingestion architecture. You do not need to be an engineer, but you should be comfortable translating technical detail, asking informed questions ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

Python/Typescript or React You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You have strong practical experience of defining strategies, building and delivering products & services using Agentic AI optionally including professional level certificationYou're used ...

with an analytical and creative mindset. Experience building AI-enabled data architectureCommercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. Competency around AI/Agentic AIA background working in software development, data engineering or data science, with a desire ...

pipelines, vector stores, and an orchestration framework such as LangChain or LlamaIndex. Cloud and MLOps. Working knowledge of a major cloud platform (AWS, Azure, or GCP), including containers, CI/CD, and model monitoring. Production-grade programming. Proficiency in Python or a comparable language, sufficient to build ...

SqlDBM, including data modelling and schema design AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP Familiarity with Tableau, GitHub, Jira, CI/ ...

high tech sales environment with a demonstrated track record of success. High knowledge with Cloud solutions (IaaS, SaaS, PaaS), especially with CSPs (Azure, AWS, Google Cloud)Strong experience with Cloud Security, Cloud Architecture and Directory Services (AD, EntraID)Relevant experience with enterprise applications, security management, systems management, identity ...

APIs/web services Plugins (Dynamics) JavaScript HTML Dynamics 365, Dataverse Workflow Assemblies PCF Controls Fetch XML Web Resources Power Apps, Power Automate Azure Functions, Logic Apps Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting ...

microservices systems, including distributed data management and event-driven architecturesare skilled in designing and operating containerised software hosted in a Cloud Provider (AWS, Azure, or GCP)have experience with cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etchave experience writing strongly-typed languages ...

Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current U.S. Government clearance preferred. Experience in cloud based technologies. (AWS, Azure) Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi ...

rapidly converting them into working prototypes Experience collaborating directly with Product Managers and Designers in discovery and validation activities Cloud experience (AWS, Azure) Familiarity with ASP.NET Core, C# or similar enterprise web backends Working alongside external development or engineering partners Automated testing frameworks (unit, integration, E2E, visual regression ...

deliver cutting-edge business solutions, working end-to-end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Work in an environment that lives its values every day – Values - Values | PA ConsultingContribute ...