Top Tech Jobs & Startup Jobs

Lead the design, implementation, integration, optimization, and operational handover of enterprise security solutions for customer environments. Deliver CrowdStrike and Microsoft security technologies, investigate complex incidents, improve detections and configurations, integrate platforms through APIs and automation, and provide customer-facing technical guidance. The role includes documentation, workshops, technical reviews, incident escalation, stakeholder communication, and mentoring engineers and analysts.

Build and support production-grade data pipelines using PySpark, SQL, Databricks, and GCP. Re-engineer ingestion processes, implement data mappings, lineage, reconciliation, hierarchy and roll-up logic, and establish automated data-quality, testing, monitoring, and deployment controls. Collaborate with engineers, analysts, business SMEs, and platform teams to deliver governed reporting capabilities, investigate data variances, manage controlled transitions, and produce technical documentation and handover materials.

Own the strategy, roadmap, governance, delivery, and lifecycle of a Premium data product within a Finance Transformation program. Lead discovery across insurance and finance data flows, align definitions and quality standards, manage cross-functional teams and dependencies, and drive adoption of trusted, reusable data for reporting and decision-making.

Lead client-facing AI transformation engagements from opportunity discovery through proof-of-concept adoption. Gather requirements, identify high-ROI use cases, build business cases and roadmaps, manage AI pipelines, and collaborate with engineering teams on prototypes using client data and LLM services. Secure executive buy-in, promote responsible AI governance, and transition successful solutions to production delivery teams.

Designs, implements, administers, and optimizes Microsoft 365 modern workplace environments. Responsibilities include managing Teams, SharePoint, OneDrive, Exchange Online, Azure AD, Intune, Conditional Access, Power Platform, licensing, security, compliance, identity, endpoint management, and user support. The role also involves troubleshooting, onboarding and offboarding, documentation, customer workshops, knowledge transfer, incident management, governance, adoption initiatives, mentoring junior engineers, and serving as an M365 technical escalation point.

Supports accounting, month-end and year-end close, financial reporting, budgeting, forecasting, reconciliations, consolidation, and financial analysis. The role also improves ERP and finance systems, develops Power BI reporting solutions, maintains controls and procedures, and contributes to automation and process efficiency across an international, multi-entity business.

Owns business and commercial operations across IT services engagements, overseeing revenue, margin, utilisation, forecasting, delivery health, renewals, governance, and reporting. Partners with Finance, Sales, delivery, and leadership to identify risks, drive corrective actions, improve processes, and maintain operational discipline. Leads service-improvement initiatives, manages systems and data quality, and coaches a Business Operations Analyst.

Designs, builds, and maintains scalable AWS and Snowflake data platforms, pipelines, integrations, data models, and quality controls. Owns production workflows, including SAS-based healthcare claims processing, while improving monitoring, resilience, security, governance, performance, and cost efficiency. Collaborates with clients to deliver analytics and AI-ready datasets, modernize legacy processes, document solutions, and support reliable data operations.

The role involves managing multiple business change projects, coordinating stakeholders, leading business analysis, and ensuring project success across various departments.

Develop and deploy machine learning and statistical models that solve business problems and create measurable impact. Responsibilities include exploratory data analysis, feature engineering, experimentation, model optimization, explainability, MLOps, prompt engineering, and cloud-based data collaboration. The role involves working with clients and stakeholders, communicating insights through visualization and storytelling, and contributing to scalable analytics, Generative AI, and data science solutions.