Future Tech Jobs
Future Tech Jobs
This role involves designing and implementing complex finance and actuarial data solutions, translating high-level architecture into detailed designs, and working closely with architecture, engineering, and platform teams. The position requires strong experience in insurance data environments, IFRS17, and hands-on skills with Databricks, Spark, and Python.
As a Principal Solution Engineer, you will work closely with the sales team and channel partners to solve complex data challenges for Snowflake's customers in the Wealth & Asset Management sector. You will present Snowflake's technology, create technical champions, and collaborate with various teams to drive successful implementations and continuously improve Snowflake’s products.
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming...
This role involves driving enterprise sales of Snowflake's cloud data platform within NHS and public sector accounts. The Account Executive will build strategic relationships, identify customer needs, and position Snowflake’s solutions to support digital transformation in healthcare IT. Success requires managing complex sales cycles, executive engagement, and aligning technology capabilities with public sector requirements.
As Chief Engineer, you will ensure peak efficiency of electrical, mechanical, and fire/life safety equipment in AWS data centers. You will manage large-scale projects, provide training, troubleshoot issues, and maintain safety standards while collaborating with various teams to deliver innovative solutions and reduce operational costs.
This role involves working on large-scale data projects using Informatica, AWS, and Azure. Responsibilities include performance tuning, data quality management, and building data pipelines. The position is part of a government or similarly complex domain, requiring strong technical skills and experience in data engineering at scale.
This role involves leading a team of account executives in the Energy & Utilities sector, focusing on achieving sales quotas, expanding business, and delivering accurate sales forecasts. You will coach the team, establish sales plans, and partner with cross-functional teams to ensure customer success and drive revenue growth.
P-1535At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
This role involves designing and implementing a semantic graph and ontology architecture to unify enterprise data sources into a Smart Data Fabric. The architect will create formal ontologies, optimize graph queries, and integrate compliance and security rules into the data layer. It focuses on enhancing AI capabilities through a graph-native foundation while collaborating with data, platform, and security teams.
This role involves modernising a large-scale data platform by migrating data pipelines, notebooks, and workloads from a legacy Databricks environment to a modern AWS cloud-based architecture. The engineer will design and implement infrastructure using Terraform, automate deployments, and ensure secure onboarding of datasets and users. The position supports a major government transformation programme with a focus on data engineering, cloud migration, and platform automation.
As a Data Engineer, you will build and optimize Azure data pipelines, support migrations to Azure Data Lake, and ensure data quality and governance. You will work in an agile environment, collaborating with global teams to drive innovation and technology advancements.
This role involves configuring and building Salesforce Data Cloud solutions, implementing identity resolution rulesets, and developing calculated insights and segments. You will work closely with architects, delivery managers, and client stakeholders to deliver measurable outcomes across various industries.
This role involves designing and building scalable, production-ready data pipelines on Google Cloud Platform (GCP) to support enterprise-wide data delivery. The engineer will standardise data ingestion and transformation, embed data quality and monitoring, and collaborate with data science and analytics teams. Emphasis is on resilience, automation, and enabling reusable, configuration-driven frameworks across multiple domains.
This role involves designing and implementing robust AI solutions, bridging data science and cloud architecture. You will lead engineering teams, manage stakeholder relationships, and deploy advanced AI capabilities using Python, Azure, and MLOps frameworks.
This role involves leading exploratory data analysis, designing and building data pipelines, and developing dashboards to support a major public sector digital screening programme. The Data Scientist will use Palantir FDP, Python, and PySpark to engineer datasets and ensure data quality within an Agile, multidisciplinary team. The position emphasizes technical ownership, modern engineering practices like CI/CD and DevSecOps, and close collaboration with data engineers, analysts, and user-centered design professionals.
