Future Tech Jobs
Future Tech Jobs
This role involves designing and implementing data architecture using Snowflake, with a focus on data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, securing data pipelines, and optimizing Snowflake's performance and cost efficiency.
This role involves designing and implementing data architecture using Snowflake, AWS, and AI/ML technologies. Responsibilities include defining data modeling standards, securing data pipelines, and optimizing Snowflake performance. The role also focuses on cross-cloud orchestration, data governance, and preparing the data infrastructure for AI/ML consumption.
This role involves driving business and data analysis for complex change initiatives in the asset management sector. You will work closely with product owners, stakeholders, and agile teams to gather requirements, design solutions, and improve reporting capabilities.
This role involves facilitating AI discovery workshops, identifying and prioritising AI use cases, and building a central AI opportunity portfolio. You will partner with technical teams to translate opportunities into delivery roadmaps and drive AI adoption across business functions, ensuring initiatives are delivered responsibly and generate measurable value.
This role involves leading the AI strategy and execution across a digital consulting firm, redefining how services are designed, delivered, and scaled using generative and agentic AI. Responsibilities include partnering with senior stakeholders, redesigning services, and driving internal adoption and client engagement.
This role involves designing and implementing data architecture solutions for a major finance company, focusing on enterprise architecture and Azure. You will work closely with the team to ensure smooth data migration and maintain best practices in financial services.
This role involves working in a fast-paced, interdisciplinary team to build a cutting-edge ML-based software platform for drug discovery. Responsibilities include data engineering, service-oriented architecture, and collaboration with scientists and ML researchers to transform the bio-pharmaceutical industry.
As a Talent Partner at Isomorphic Labs, you will play a critical role in building world-class teams by developing and executing talent acquisition strategies. You will partner with senior leaders, source top talent, and foster an inclusive culture, contributing to the company's ambitious mission to revolutionise drug discovery through AI.
This role involves designing and enhancing real-time market data infrastructure, building scalable platforms for quantitative research, and developing simulation and backtesting environments. Engineers will work on performance-critical systems, data pipelines, and distributed services to support high-volume analytical workloads, contributing to the architecture of next-generation trading and research infrastructure.
The Senior Biostatistician, Digital Trials role involves providing senior statistical expertise for the EMBRACE programme, focusing on the design, conduct, and analysis of observational and interventional studies. Key responsibilities include working with complex health datasets, developing robust statistical approaches for digital health research, and collaborating with multidisciplinary teams to advance the programme's goals.
The Interim BI & Quality Lead role involves leading the transition from legacy reporting systems to a new Power BI layer, ensuring that the transformation preserves institutional memory and meets regulatory and operational needs. Key responsibilities include conducting value discovery workshops, managing business validation, and defining quality assurance processes.
This role involves leading data requirements gathering, mapping complex data flows, and ensuring data integrity for a global investment management firm. You will act as the bridge between business stakeholders and technical teams, driving the success of a critical data transformation initiative.
This role involves owning and administering the enterprise data governance tool (Informatica), ensuring it supports data catalogue, metadata, lineage, and data quality. Responsibilities include monitoring and reporting on data quality, GDPR compliance, and providing training and support to improve data literacy and governance practices.
SLSQ327R227Location: London (relocation to Dubai expected early 2027)Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.Reporting to the UAE Country Manager, you’ll partner with a team of...
This role involves configuring, administering, and operationalising Informatica Intelligent Data Management Cloud (IDMC) for data governance across multiple systems in a regulated BFSI/Insurance environment. You will work closely with data, cloud, and platform engineering teams to implement metadata management, data lineage, and data quality capabilities.
