Jobs at Sand Technologies

Lead development and deployment of data science and ML models for utilities and infrastructure. Conduct research in Physical AI, build production-ready pipelines and MLOps, apply time-series, anomaly detection, geospatial and graph analytics to operational telemetry, communicate results to stakeholders, and mentor junior data scientists.

Architect and build core Decision Intelligence platform capabilities: heterogeneous data integration, semantic modeling, simulation and optimization services, scalable distributed backend systems, AI/ML and LLM-powered production deployments, data pipelines, and operational tooling. Provide technical leadership, own full lifecycle from design to production, improve reliability, observability, and drive engineering excellence.

Design, build, and operate secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS and operational workloads. Lead ingestion/transformation pipelines, distributed processing (Spark/Kafka), data governance, observability, and mentor teams while ensuring compliance in regulated environments.

The Business Analyst drives requirements and analysis throughout delivery, manages stakeholder relationships, produces documentation, leads testing, and measures value while mentoring junior teammates.

Lead requirements and strategic analysis for UK utilities AI programs, liaise with clients on-site, design and facilitate workshops, maintain backlog and business-case linkage, produce BRDs/FSDs, support UAT and QA onboarding, and mentor junior analysts.

Lead design and build of reusable Azure data ingestion pipelines and lakehouse models for utility clients. Define canonical data models, ensure data quality, lineage, observability and governance. Collaborate with client data owners and architects, set engineering standards, mentor mid/junior engineers, and support secure, reliable production operations across batch, API, file and streaming sources.

Design, build and maintain full-stack, production-grade applications and APIs on Azure to serve AI/model outputs. Implement CI/CD, automated testing, observability and secure integrations, mentor mid-level engineers, and support deployment and user acceptance for operator-facing situational-awareness dashboards for utilities.

Drive the adoption of AI platforms and solutions in public sectors, ensuring stakeholder engagement, operational integration, and successful adoption strategies.

Own the vision and roadmap for the core developer and AI platform. Dogfood APIs, deploy and prototype with LLMs and AI agents, maintain reference apps and IaC templates, run user interviews, define PRDs and success criteria, align with engineering and client deployments, and represent the product externally. High travel (50–75% EMEA).

Lead end-to-end product design for AI-enabled, data-heavy products: conduct user research, design complex UX/UI and interaction details, build scalable design systems, collaborate with product, engineering and data science, mentor designers, and champion user-centered practices across the organisation.

Design, develop and deploy machine learning and time-series models for water, wastewater and infrastructure systems; work with operational telemetry (SCADA/AMI/IoT), geospatial and graph analytics; integrate models into production pipelines with MLOps and monitoring; communicate results to stakeholders; perform Physical AI research and mentor junior data scientists.

Design, build, and maintain scalable cloud-native data platforms and pipelines (batch, streaming, near-real-time). Implement distributed processing (Spark), event-driven systems (Kafka), governance, security, observability, and support ML/analytics. Partner with cross-functional teams, optimize performance/cost, and mentor engineers while enabling production-grade data products.

Lead end-to-end test automation: design manual test cases from user stories, convert them into Playwright+TypeScript automated regression suites, test GraphQL APIs, maintain CI/CD integration, and improve automation coverage and test quality across web applications.

The AGC/DGC will provide high-level legal advice, coordinate legal initiatives, manage contracts, and handle IP and privacy matters across jurisdictions.

Responsible for end-to-end deployment and integration of technology systems in healthcare and other sectors, while leading local technical teams and ensuring system reliability.

The Technical Lead will oversee system deployment and integration across various sectors, managing local teams and ensuring reliability of technology systems to improve healthcare and other services.

The Technical Lead will oversee system implementation and integration across various sectors, manage technical teams, and ensure project success while building local capacity.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse architectures using big-data and cloud technologies. Lead data modelling, streaming and batch processing, CI/CD and containerized deployments. Ensure data quality, governance, security, and support ML workflows. Mentor engineers and collaborate with cross-functional teams to deliver reliable, cost-efficient infrastructure for a UK utilities client.

The Forward Deployed Engineer will build relationships within the Ministry of Health, deploy AI solutions, lead local technical teams, and ensure continuous knowledge transfer and system sustainability.

The Forward Deployed Engineer will work full-time in Guinea-Bissau's Ministry of Health, managing technical solutions, building relationships, and contributing to health system improvements using Sand's product suite.