Data Engineer

About this role

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:

• 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…