Data Engineer

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 and 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