Zearch are partnering with a leading GIS/Geo-spatial SaaS business and hiring for an experienced Data Architect to work on some top priority projects in the Telco & Utilities sectors. Data Strategy & Assessment Collaborate directly with clients to evaluate the technical quality and business value of their … datasets, performing detailed assessments to audit critical data elements. Assist clients in defining processes for data governance, ensuring data accuracy, completeness, and integrity across systems. Conduct comprehensive reviews of client systems to understand the structure and flow of customer interaction and life-cycle data. GIS Data Modeling & Transformation Design GIS data models aligned with the client’s business objectives, transforming existing data structures using tools such as Python, Perl, Safe FME, and proprietary transformation utilities. Translate complex datasets into standardized formats that support scalable, automated transformation workflows. Establish automated ingestion processes to collect More ❯
Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large … Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help spearhead their data sales strategy for 2025 and beyond. The ideal candidate will be responsible for driving revenue growth, and expanding their client base through the sale of enterprise data, analytics platforms, or data-driven products and services. Key Skills & Experience: 5+ years of experience in B2B sales, preferably in data, SaaS, or analytics. Proven track record of meeting/exceeding sales targets. Strong understanding of data products (e.g., data lakes, APIs, analytics dashboards). Excellent negotiation, communication, and interpersonal More ❯
Locke44 are proud to be partnering with an exciting technology startup. They are revolutionizing the data industry with plans for rapid growth in 2025. We are looking for an experienced Customer Success Engineer to drive the successful deployment, integration, and optimization of advanced data solutions across a complex … close collaboration with customers to ensure seamless implementation, maximize platform performance, and deliver measurable value. You'll be at the forefront of securing sensitive data at scale, working across a variety of architectures and technology stacks. RESPONSIBILITIES: Serve as a technical subject matter expert, providing in-depth knowledge and … SQL and scripting languages such as Python; solid hands-on experience working in cloud-based environments. Minimum of 3 years of experience working with data and cloud technologies, including databases, cloud infrastructure, and basic cloud administration (e.g., networking, compute and storage resources, identity and access management). Familiarity with More ❯
fast-paced environment A willingness to contribute outside of core responsibilities to provide an optimal customer experience Curiosity and an attitude of a quick data-oriented learner who thrives in a dynamic, collaborative environment Effective time management and organisation skills to balance customer engagement, deal closing, and CRM administration … customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Refer to our DataPrivacy Statement for Candidates for details on our data handling practices during your application. More ❯
including project initiation documents, risk management plans, and post-project reviews. Ensure all projects comply with industry regulations, particularly those related to pharmacovigilance and dataprivacy (e.g. GxP, GDPR). Coordinate and manage interactions with third-party vendors, consultants, and partners to ensure successful delivery and integration … Preferred Experience and Qualifications: Familiarity with signal detection, case management, and safety databases (e.g., Argus, ARISg). Familiarity with cloud-based solutions and big data technologies. Technical background with experience in software development or IT infrastructure. Knowledge of regulatory requirements and industry standards for technology solutions. Certification in project More ❯
