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Valtech logo

Data Engineer

Valtech
Posted 1 hour ago
🌍Canada, United States🏠Remote💰$160.0K–$210.0K📁Data & Analytics
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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care a nd dare Our borderless, global framework, which enables seamless collaboration The role As a Sr. Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 5+ YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role responsibilities Lead complex measurement strategy, tagging, instrumentation, and implementation workstreams across multiple business areas, channels, platforms, or stakeholder groups. Define measurement strategies and implementation approaches that align business questions, reporting requirements, experimentation needs, consent behaviors, and downstream data usage. Translate ambiguous business and stakeholder needs into structured measurement plans, event frameworks, tracking requirements, implementation designs, and actionable recommendations. Own and guide event design, tagging architecture, consent-aware tracking behavior, QA strategy, and platform configuration needed to support reliable and scalable measurement. Establish and reinforce best practices for measurement plans, event naming conventions, parameter logic, data layer requirements, tracking documentation, and validation processes. Lead implementation audits and identify gaps, risks, inefficiencies, and opportunities to improve measurement quality and consistency. Serve as a senior partner to client and internal stakeholders by advising on measurement implications, implementation tradeoffs, data collection strategy, privacy considerations, and instrumentation priorities. Collaborate with Data Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, Data Engineers, and Architects to align measurement solutions with reporting needs, platform realities, and business objectives. Review and improve existing implementations to increase clarity, scalability, consent compliance, consistency, and usefulness. Support proposal work, capability building, and internal thought leadership where measurement expertise is needed. Model strong governance discipline by reinforcing privacy, consent, data-quality, and implementation-standard expectations across engagements. Must have qualifications To be considered for this role, you must meet the following essential qualifications: Experience with hybrid implementations of Adobe Analytics via Google Tag Manager. Adobe Analytics & Adobe WebSDK Google Tag Manager expertise Deep working knowledge of digital measurement, event tracking, tagging strategy, and analytics implementation. Strong ability to define measurement approaches, event frameworks, and instrumentation strategies in complex business environments. Advanced skill in translating technical tracking concepts into clear, business-relevant recommendations for stakeholders. Strong understanding of tag management, data layers, consent behaviors, cookie governance, and customer event flows. Strong troubleshooting and systems-thinking skills across platforms, implementations, and downstream data dependencies. Ability to operate independently in ambiguous situations and bring structure to loosely defined measurement needs. Strong written and verbal communication skills in English, including executive-level presentation and stakeholder management capability. Ability to influence without direct authority and elevate the quality of delivery across teams. Strong attention to detail while balancing speed, practicality, and business usefulness. Ability to collaborate effectively across distributed teams in the Americas and across multiple disciplines. Nice to have qualifications Google Analytics certification or equivalent GA4 learning path Google Tag Manager training or equivalent tag management coursework Adobe Analytics platform training Adobe Launch or related implementation training Privacy, consent, or analytics implementation training Additional platform training across analytics, CDP, consent management, or implementation tools as relevant Tools / Platforms Analytics Platforms Google Analytics 4 (GA4) Adobe Analytics Amplitude Other analytics platforms as needed Tag Management / Measurement Implementation Google Tag Manager Adobe Launch Tealium iQ Other tag management tools as relevant to the client environment Cookie / Consent Management Platforms OneTrust TrustArc Osano Usercentrics Other cookie consent and privacy management platforms as relevant to the client environment QA / Debugging / Validation Browser developer tools Tag Assistant Adobe Experience Platform Debugger ObservePoint Other measurement QA and validation tools as needed CDP / Event Collection / Customer Data Platforms Segment mParticle Adobe Experience Platform io Other CDP, event collection, and customer messaging platforms as relevant to the client environment If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. The benefits This is a full-time position based in United States . The offered salary range is 160.000 - 210.000 USD annually, depending on experience and location. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting-edge tools, training and industry experts Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us. For applicants in California, please see Valtech's CPRA Privacy Notice here .

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