Process Safety Director, UK and Ireland
Jensen Hughes
Lead Jensen Hughes’ process safety consultancy growth across the UK and Ireland. Shape services, advise industrial clients, develop business and mentor technical teams.
Deschide
Gen este o companie globală de tehnologie pentru consumatori, care activează în domeniile securității cibernetice, confidențialității digitale, protecției identității și bunăstării financiare. Prin branduri precum Norton, Avast, LifeLock și MoneyLion, compania îi ajută pe oameni să își protejeze dispozitivele, identitatea, informațiile personale și finanțele. Produsele sale includ detectarea amenințărilor, răspunsul la breșe de securitate, instrumente pentru confidențialitatea online, funcții bancare și servicii de finanțare încorporată prin Engine. Gen investește, de asemenea, în securitate bazată pe inteligență artificială și în Gen AI Foundry, axat pe construirea încrederii în aplicațiile emergente de inteligență artificială. Compania deservește aproape 500 de milioane de utilizatori din peste 150 de țări și are sedii centrale duble în Praga și Tempe.
Staff Data Engineer – Chennai Hybrid
Lead the architecture of multi-petabyte data infrastructure supporting Gen’s cybersecurity and digital safety products. Shape enterprise data strategy, advanced analytics, and technical direction across engineering teams.
Descriere
- Architect enterprise-scale data solutions that influence Gen’s cybersecurity platform strategy
- Build systems including incremental identity graphs, marketing attribution integrations, and automated lifetime-value calculations
- Evaluate and implement modern data-stack and advanced analytics technologies
- Partner with executives and senior leaders to align data architecture with business priorities
- Mentor IC9 and IC10 engineers in architectural judgment and advanced technical practices
- Lead complex, multi-quarter initiatives spanning multiple engineering teams
- Provide senior technical leadership for multi-petabyte infrastructure serving millions of users
Cerințe
- Bachelor’s degree in computer science, data engineering, or a related technical discipline; a master’s degree is preferred
- 10–15 years of hands-on data engineering experience in large-scale, high-volume environments
- Expert SQL optimization skills for multi-petabyte datasets and advanced Python programming ability
- Extensive experience architecting, optimizing, and managing Snowflake costs at enterprise scale
- Demonstrated ability to build Kimball dimensional warehouses and star-schema architectures
- Advanced AWS cloud infrastructure experience plus DBT or SQLMesh expertise for data transformations
- Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks supporting GDPR and PCI-DSS compliance
- Ability to independently architect and own multiple complete codebase or service areas
- Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics; familiarity is a plus
- Track record working with subscription business models, including cohort analysis, lifetime-value calculations, and marketing attribution
- Direct experience in cybersecurity, ad-tech, or high-volume data environments processing billions of daily events
- Recognized data engineering expertise with the ability to deliver technical and business impact at enterprise scale
Beneficii
- Flexible working arrangements
- Paid time off
- Competitive compensation
- Benefits and well-being programs
- Career development opportunities
- A culture of constructive debate, experimentation, and continuous learning
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