Tech jobs
Job listings
AWS Data Architect
Design a cloud-native AWS and Databricks data platform for a UK public-sector programme, defining data lake/lakehouse layers, governance, security, and scalable ingestion pipelines.
Data Analyst
Data Analyst role at Ofcom to analyze communications market data, build accessible dashboards, and publish insights using Python, SQL, Power BI, and AI tools for internal stakeholders.
Principal Data Architect DV Cleared
Principal Data Architect leads secure, enterprise-scale data platforms for UK defence and government programmes, designing end-to-end architectures from ingestion to analytics in classified environments.
Lead Data Scientist
Lead a team of data scientists to build AI/ML models and analytics that drive commercial decisions, deploying solutions with engineering partners and presenting insights to executives.
Databricks AI Architect - London
Design and lead Databricks Lakehouse and Azure AI platforms, embedding GenAI, RAG, and AI agents to deliver scalable, governed data and AI solutions for enterprise clients.
AI Platform Engineer
Build and deploy AI-powered applications and automation using LLMs (GPT, Claude, Gemini), Python, Azure, and Kubernetes while integrating security and CI/CD pipelines.
Senior Data Architect
Designs enterprise-scale cloud data platforms using Databricks, Snowflake, AWS/GCP to enable advanced analytics and AI solutions for a global financial-services organization.
Azure Data Engineer
Builds and maintains Azure-based data pipelines using Databricks, Microsoft Fabric, and PySpark to process and govern large-scale datasets.
AI Platform Engineer
Maintain and support enterprise AI platforms, cloud-native environments, and data pipelines for a leading Hong Kong financial institution, ensuring reliability and enabling AI/ML operations.
Senior Data Engineer （Databricks）
Build and optimize scalable data pipelines on Databricks and AWS, designing a Lakehouse architecture with Delta Lake to support ETL/ELT, real-time streaming, and analytics for a fintech company.
Data Scientist – Classical ML
Build and maintain classical ML models (clustering, unsupervised learning) in Python/SQL, taking models from prototype to production in a collaborative engineering environment.
Expert Developer – Data Analytics & Data Engineering - REF5086I
Design and build a modern Lakehouse data platform on Azure using Databricks, Delta Lake, and Spark, migrating from legacy warehouses while coaching teams on best practices.
Machine Learning Engineer - Fraud Detection
Build and deploy production-grade fraud detection models using real-time inference, feature engineering, and graph-based techniques on GCP and Databricks.
Fullstack Developer (Java/React)
Build and maintain cloud-native apps in Java and React for enterprise clients, collaborating with cross-functional teams to deliver scalable solutions and shape system architecture.
Technical Writer
Owns and restructures documentation for a Databricks-based data platform, translating technical concepts into clear guidance for engineers and non-engineers while improving SharePoint as a single entry point.
Junior Business Analyst
Junior Business Analyst gathers and analyzes platform usage data, supports user research, and maintains engagement documentation to help prioritize and track adoption metrics.
Sales Executive – Data & AI Consulting
At Helius Technologies we help organisations deliver technology outcomes that work in the real world. Our teams support complex technology initiatives across Asia and the Middle East , particularly in regulated and…
Senior Data Engineer — Industrial OT/IT Data Platform
Senior Data Engineer builds and maintains Azure/Databricks pipelines to integrate fleet telemetry and condition monitoring data for predictive maintenance and analytics in a heavy-industry setting.
Senior Data Engineer
Senior Data Engineer builds and operates Azure/Databricks pipelines to integrate fleet telemetry, maintenance systems, and predictive analytics for a mining equipment services company.
Senior Engineer, Data Platform
Build and operate Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern cloud architectures while ensuring reliability, governance, and high availability for analytics and AI workloads.