Senior MarTech Specialist position at Leadtech.| Spain

_{2026-02-12T15:48:54.751Z} bot

Leadtech Senior MarTech Specialist

Experience: General

Pattern: Full-time

Country:

Copy Link Report

Vocational

Spain

About US At Leadtech, we’ve been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we’re united by a passion for creativity and collaboration. We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before. We’re proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our page! About the Role We are looking for a MarTech Specialist with strong expertise in web tracking projects, ideally with experience in companies with subscriptions models. This is not a “ticket executor” role. We want someone who owns the tech side of web tracking, challenges assumptions, and builds scalable, future-proof solutions. And one more thing: we don’t care what you studied 🎓. Master’s in Advanced Translation? Great. Law & Politics double degree? Fantastic. Finance vocational training? Perfect. Degrees are nice, but here we care about your skills, curiosity, and hands-on experience. Your Mission Own the technical implementation and maintenance of web tracking (client-side and server-side) and argue for scalable, future-proof solutions. Lead Google Tag Manager setups (including S2S GTM) and ensure accurate data capture for analytics and attribution. Work on web projects, ideally for subscription-based businesses; collaborate with SEO, analytics, and product teams on tracking needs. Implement and manage online payments data capture (e.g., Stripe, card gateways) for analytics and attribution. Use GA4 and Amplitude; knowledge of Adobe Analytics or similar enterprise platforms is a plus, but GTM expertise is mandatory. Maintain robust tagging and tracking (events, funnels, data layers); understand Ad Networks and how Campaigns/Ad Groups/Ads relate to tracking and attribution. Collaborate with SEO teams on landing pages, organic funnels, and Google Search Console insights; apply Technical SEO fundamentals (indexation, sitemaps, canonicals, hreflang, Core Web Vitals). Engage with CMPs/consent management tools (Didomi, OneTrust, Usercentrics, etc.) and coordinate with Legal teams to ensure proper signal firing and compliance (GDPR, DMA, Consent Mode V2). Leverage cloud systems (ideally GCP: BigQuery, Cloud Functions, Pub/Sub, APIs) and SQL to query data in a Data Warehouse (e.g., BigQuery, Databricks). Coordinate with App MarTech where relevant to broaden cross-channel capabilities and learn from App MarTech specialists over time. Must-have Deep experience working on web products in production. Real web — not just diagrams, not just tools, not just theory. The kind where browsers disagree, cookies disappear, and tracking still needs to work. Deep understanding of attribution across modern tracking environments (browser restrictions, signal loss, privacy frameworks, and server-side recovery strategies — yes, the real-world kind, not the slide-deck version). You understand how tracking infrastructure decisions directly impact attribution accuracy and campaign optimization. Solid understanding of how Ad Networks work — e.g., the difference between Campaign / Ad Group / Ad, how CAPI or parameter-based tracking works, and how UA teams rely on these setups. You don’t need to run campaigns, but you need to speak their language (and understand why they panic when conversions drop 12%). Experience working with architectures where tools like Google Tag Gateway (GTG) or equivalent network-side signal routing solutions play a key role in maintaining conversion visibility — particularly in environments with high non-Chrome traffic share (because, unfortunately, not everyone lives inside Chrome). Experience designing, implementing, and optimizing server-to-server (S2S) conversion and event tracking setups across Ad Networks — regardless of the tool used (e.g., server-side GTM, AddingWell, Staple, direct API integrations, or custom pipelines). You understand how S2S tracking impacts campaign optimization, signal quality, and attribution (and why “browser-only will be fine” is usually famous last words). You understand how hashing, normalization, and formatting of user identifiers directly impact match rates and downstream optimization. Metrics like Event Match Quality (EMQ) or equivalent signal quality indicators across networks are part of your daily toolkit. Hands-on experience with online payments (Stripe, card gateways) and the ability to capture and process payment data for analytics and attribution. Experience with GA4 and Amplitude. Knowledge of Adobe Analytics (or similar enterprise platforms) is a plus — but GTM expertise is mandatory (yes, still). Experience with CMPs / consent management tools (e.g., Didomi, OneTrust, Usercentrics, or similar). Concepts like GDPR, DMA, Consent Mode V2, Purposes, Vendors, Notice and so on are not foreign to you — you’ve danced with them more than a few times (and you know they always lead). Practical experience with cloud systems (ideally GCP: BigQuery, Cloud Functions, Pub/Sub, APIs). SQL proficiency to query and consume data in a Data Warehouse (e.g., BigQuery, Databricks). Fluent English (written & spoken). Big plus Python (or other scripting languages) for automation. We’re not looking for a Data Engineer, but you should feel comfortable writing small scripts when needed — for example, to pull data from an API, send events into GCP, clean or transform datasets before pushing them into a warehouse, spin up a quick Cloud Function to avoid manual work, or even make life easier for the SEO team by processing Google Search Console data. Data Engineering / Analytics Engineering exposure (e.g., Airbyte, dbt, Dataform). You won’t be replacing our Data team — they’re the experts — but having this background makes collaboration smoother and helps reduce small bottlenecks. Experience with Affiliation platforms (e.g., Impact, Rakuten, Awin, or similar). Solid understanding of Technical SEO fundamentals (indexation, sitemaps, canonicals, hreflangs, Core Web Vitals). Many tracking challenges start with landing pages, organic funnels, or GSC, so speaking the SEO language helps. Nice-to-have Experience with other TMS systems (Tealium, Adobe Launch, etc.). GTM is mandatory, but knowing others is a plus. Experience with Customer Data Platforms (CDPs) such as Segment, mParticle, Rudderstack or Composable CDPs like Census, Hightouch. Experience with dashboards and BI tools — e.g., Looker Studio, Tableau, Power BI — to help Paid UA teams analyze test results, especially in attribution-sensitive cases. Experience with CRMs and marketing automation platforms, especially the technical side (Braze, Iterable, OneSignal, Hubspot, Brevo, ActiveCampaign, etc.). Awareness of AEO (Answer Engine Optimization) — understanding how search and discovery through LLMs (ChatGPT, Perplexity, etc.) works, so you can help evaluate how much value we’re getting from these appearances and how we attribute them.

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