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The Equipment Sales Engineer sells HVAC and process cooling solutions to clients, focusing on generating new business, building customer relationships, and meeting sales targets. Daily work involves technical consultations, CRM management, and collaborating with engineering teams to customize solutions for data center and industrial clients.
Develops and optimizes software for McLaren Racing’s Formula 1 cars using C#/.NET and frontend tech, leading projects from design to deployment.
Designs and implements modern data-centre networks for financial clients using VXLAN-EVPN, Cisco ACI, and spine-leaf fabrics while engaging directly with stakeholders.
Builds and deploys data-driven football analytics tools (ML + full-stack) to support coaching decisions and match analysis for Arsenal’s men’s first team.
Designs and optimizes data systems (including star/snowflake schemas) and application layers, focusing on query performance, telemetry, and secure coding for an AI/cloud solutions company.
Builds and automates fault-tolerant data infrastructure (Kafka, Spark, SQL/NoSQL) for multi-cloud/on-premise enterprise platforms, focusing on replication, TLS, backups, and infrastructure features—not data analysis.
Lead the design and deployment of production-safe data pipelines and platforms on cloud (Databricks, Snowflake, AWS/Azure/GCP) using DataOps practices.
Builds and maintains observability tools (metrics, logs, traces) to help users debug and optimize their applications, working with cross-functional teams and open-source projects.
Build and maintain cloud-scale data infrastructure for autonomous-vehicle fleets, enabling ML training and validation via Python pipelines, Flyte orchestration, and AWS services.
Designs and scales cloud-based data platforms for real-time analytics and streaming, integrating with ML workflows and ensuring data quality.
Leads a team to design, build, and secure a cyber data platform for real-time analytics in a large UK retailer’s tech division, focusing on cloud-based data infrastructure and security standards.
Builds and maintains data pipelines while collaborating with stakeholders to design scalable AI solutions, leveraging Python, SQL, and cloud platforms for high-impact data initiatives.
Designs and maintains an AWS-based data platform for analytics and AI, ensuring reliability, security, and cost efficiency while collaborating with data engineering and AI teams on cloud-native architectures and governance frameworks.
Build and run a secure, scalable AWS data platform that powers analytics and AI for logistics insights.
Graduate consultants solve complex technical challenges across DevOps, SRE, test automation, and AI/ML for financial services clients, working on greenfield projects with ownership from day one.
Builds automated security tools and integrates them into Bloomberg’s AI-driven DevOps pipeline to catch vulnerabilities early in the software lifecycle.
A senior DevOps consultant advises UK national security clients on designing, implementing, and securing AWS-based solutions, focusing on migration, security best practices, and cloud-native architectures while traveling 3-4 days/week on-site.
Mentors professionals in data engineering via workshops and 1:1 coaching, bridging theory and practice to enhance learners' skills in SQL, Python, and data engineering principles.
Builds and maintains scalable data pipelines, cloud infrastructure, and full-stack data products for analytics and AI, using Python, SQL, Spark, and cloud platforms like AWS/Azure/GCP. Focuses on data reliability, integration, and collaboration with stakeholders to improve data accessibility and quality.
Principal Data Engineer designs and modernizes enterprise-scale data platforms using cloud-native tools (Azure/AWS/GCP) to enable analytics and decision-making.
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