Future Tech Jobs
Future Tech Jobs
Design and build data pipelines, APIs, and machine learning systems using Python and AWS. Work with complex datasets to deliver scalable data products and integrate statistical models into production. Collaborate within a cloud-native environment using modern software engineering practices.
This role involves developing and maintaining data pipelines to migrate data from legacy systems into a modern Azure Lakehouse environment. The engineer will design transformation processes using Databricks following Medallion Architecture, build scalable ETL/ELT solutions, and create optimised data models for Power BI and analytics. Emphasis is placed on data quality, automation, and engineering best practices such as CI/CD and Infrastructure as Code.
Oracle Data Warehouse Developer (SC Cleared)Andover (Hybrid)6 Month Contract£500/day (Outside IR35)Oracle Data Warehouse Developer needed with active SC Security Clearance. 6 Month Contract based in Andover (Hybrid). Start ASAP in April/May 2026.Hybrid Working - 3 days/week remote (WFH), and 2...
This role involves improving conversational AI systems for Amazon's Rufus shopping assistant by designing and refining large language model (LLM) instructions, evaluation frameworks, and experimentation methodologies. The Data Scientist will analyze multimodal interaction data, develop automated evaluation pipelines, and collaborate with scientists and engineers to enhance response quality, grounding, and customer experience. Work includes A/B testing, retrieval augmentation, and leveraging petabytes of data to drive measurable improvements in AI-driven shopping interactions.
A Data Scientist in this role will analyze multimodal datasets to improve AI-driven shopping experiences through natural language processing, machine learning, and A/B testing. The role involves building predictive models, designing experiments, and collaborating with engineers to deploy scalable solutions for Alexa’s conversational shopping features. Work focuses on enhancing customer interactions via personalized recommendations, product research support, and multimodal responses combining text, images, and video.
This role involves driving adoption and revenue for Databricks Lakebase, a fully managed Postgres service, by partnering with account teams to engage technical and business stakeholders. The specialist will lead sales cycles, run proof-of-concept projects, and position Lakebase as a modern solution for operational workloads and AI-native applications. Success requires strategic account engagement, technical value selling, and cross-functional collaboration to simplify data architectures and improve governance for customers in the UK and Ireland.
This role focuses on driving adoption and revenue for Databricks Lakebase, a fully managed Postgres service designed for AI-native and intelligent applications. The specialist will collaborate with account teams to engage technical and business stakeholders, lead complex sales cycles, and validate use cases such as real-time workloads and reverse ETL through proofs of value. Success involves enabling field teams, shaping go-to-market strategy, and positioning Lakebase against competitive databases in enterprise environments.
Analyse financial data and support indirect tax compliance by delivering data solutions and automating workflows. Collaborate with tax and technology teams to resolve data quality issues and improve reporting processes. Work across SQL, ETL, and large datasets, with opportunities to apply GenAI and AWS tools for innovation.
The role involves extracting and transforming data from multiple business systems, developing automated reporting solutions, and building Power BI dashboards to improve data visibility. The Data Scientist will support a major ERP transition to SAP, working closely with operational teams across packaging, supply chain, and transportation to enable data-driven decisions using SQL, Python, and Power Query.
Senior Data Engineer – Monetary Analysis & Economic Data* Location: London, UK (Hybrid: 3 days in office, 2 days remote)* Security Clearance: SC Clearance Required (Active or eligible to undergo)* Salary: £75,000 to £80,000 + Benefits and Bonus* Position Type:...
This role involves translating business needs into data solutions, supporting stakeholders with BI tools, and enabling self-service reporting. The analyst will design and maintain dashboards, ensure data accuracy, and lead governance efforts around data quality and security. It focuses on collaboration between business and technical teams rather than development or coding.
Develop and maintain complex SQL queries and Power BI reports to deliver actionable insights for Children's Social Care operations. Work closely with stakeholders to translate business requirements into robust reporting solutions, ensuring data accuracy and governance. Engage in light ETL, performance optimisation, and mentorship of reporting best practices.
This role involves designing and developing data models, ETL processes, and Power BI reporting solutions within a modern Azure-based data platform. The analyst will support migration to Azure Data Lake, implement Medallion Architecture principles, and contribute to data governance and quality initiatives. It's a hybrid position requiring collaboration across data engineering and analytics functions.
This role involves designing and developing enterprise-level Power BI dashboards, building scalable data models, and creating self-service reporting solutions. The analyst will develop Azure-based data pipelines, optimise SQL queries, and drive data governance while translating business needs into actionable insights. The position also includes training users, supporting data strategy, and evaluating emerging technologies like Microsoft Fabric and AI.
This role involves designing and leading the implementation of enterprise-scale data and AI solutions using Microsoft technologies. The architect will engage directly with clients and internal teams to define solution strategies, conduct technical workshops, and support pre-sales efforts. Key focus areas include modern data platforms, cloud architecture, and guiding AI adoption across strategic transformation programmes.
