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Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: -Build and lead relationships for highly sophisticated customer accounts -Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope -Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities -Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___. Job ID:R285938

Senior Azure Support Engineer • Location: Richmond-Upon-Thames, • This is a hybrid role., • You must be British for Security Clearance reasons We are hiring for a Senior Azure Support Engineer to join a growing business and be responsible for the maintenance and support of the Azure Cloud Environment that hosts SaaS web-based applications. • The environment operates hundreds of Single Tenant (ST) and Multi-Tenant (MT) deployments across Azure, each with their own servers, database, and storage., • This role exists to keep every deployment reliable resolving ensuring uptime and building automation., • Investigating and fixing complex application and infrastructure issues., • Monitoring capacity, performance, and error budgets across all deployments., • Designing automation and tooling to improve reliability and reduce manual work. Technical Skills required for the Senior Azure Support Engineer • 3+ years in third-line support, SRE, or cloud operations for enterprise SaaS., • Proven track record in incident resolution and root cause analysis., • Experience working with both multi-tenant and single-tenant cloud architectures., • Strong background in supporting C#/ .NET Core/ MVC web applications with SQL Server backends and Azure Blob Storage., • Advanced Azure diagnostics (Application Insights, Log Analytics, Kusto Query Language)., • Proficient in SQL for investigation and remediation., • Scripting and automation skills in PowerShell and/or C#., • Understanding of Azure components: App Services, VMs, SQL DB, Blob Storage, scaling strategies., • Experience in capacity planning, SLOs, and error budget management, • Azure Monitor, Application Insights, Log Analytics, Azure Data Explorer (KQL), Azure Functions, Logic Apps, PowerShell, C#, SQL Server Management Studio, Azure Storage Explorer, Power BI (for reporting). The Senior Azure Support Engineer responsibilities and tasks: • Monitor ST and MT environments for server performance, response times, error rates, etc., • Detect and resolve database issues, stalled file processing, or misplaced storage objects., • Use Azure diagnostics and telemetry to troubleshoot and resolve complex incidents., • Provide third-line support for escalated customer cases, collaborating with development., • Maintain uptime, performance, and scalability across all ST and MT deployments., • Define and track service-level objectives (SLOs)., • Perform capacity planning for servers, databases, and storage, scaling resources., • Identify systemic patterns causing downtime and implement fixes at scale., • Build PowerShell scripts and automation (Azure Functions, Logic Apps), • Automate environment health checks and reporting., • Develop self-healing routines for recurring problems., • Implement and maintain Azure Monitor/ Application Insights/ Log Analytics dashboards

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