🚀 About the Role We're looking for a relentlessly curious Data Engineer to join our team as a Marketing Platform Specialist. This role is for someone who will dedicate themselves to extracting every possible byte of data from marketing platforms - the kind of person who gets excited about discovering hidden API endpoints and undocumented features. You'll craft pristine, high-resolution datasets in Snowflake that fuel advanced analytics and machine learning across the business. 🎯 The Mission Your singular focus: extract every drop of value from the world’s most powerful marketing platforms. Where others use 10% of a tool’s capabilities, you’ll uncover the hidden 90%, from granular auction insights to ephemeral algorithm data. You’ll build the intelligence layer that enables others to scale smarter, faster, and with precision. 🧪 What You’ll Actually Do Platform Data Extraction & Monitoring Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior Exploit beta features and undocumented endpoints to unlock advanced data streams Capture ephemeral data before it disappears: attribution snapshots, pacing drift, algorithm shifts Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay Scrape competitor websites and dissect tracking logic to reveal platform strategies Business Scaling & Optimization Datasets Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks Advanced Feature & AI Data Engineering Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows Enrich historical marketing data using automated pipelines and AI-powered data cleaning Unified Customer & Attribution Data Build comprehensive GA4 datasets using precise tagging logic and event architecture Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching Map cross-device customer journeys with detailed attribution paths and timestamp precision Snowflake Architecture & Analytics Enablement Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning Use S3 and data lakes to manage large-scale, unstructured data across channels Implement architectures suited for exploration, BI, real-time streaming, and ML modeling, including star schema, medallion, and Data Vault patterns Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay 🎓 Skills & Experience Required 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing Advanced Python for API extraction, automation, and orchestration JavaScript proficiency for tracking and GTM customization Expert-level experience with GA4 implementation and data handling Hands-on experience with Snowflake, including performance tuning and scaling Comfortable working with S3 and data lakes for semi/unstructured data Strong SQL and understanding of scalable data models 🤞Bonus Points if You Have Experience with dbt for transformation and modeling CI/CD pipelines using GitHub Actions or similar Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness Familiarity with GPU computing for high-performance data workflows Data app development using R Shiny or Streamlit 🚀 You'll Excel Here If You Are: Relentlessly curious : You don’t wait for someone to show you the API docs; you find the endpoints yourself Detail-obsessed : You notice the subtle changes, the disappearing fields, the data drift others overlook Self-directed: You don’t need micromanagement. Just give you the mission, and you’ll reverse-engineer the map Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth 🔥Why the Conqueror: ⭐️Shape the data infrastructure powering real business growth 💡Join a purpose-driven, fast-moving team 📈 Work with fast-scaling e-commerce brands 🧠Personal development budget to continuously sharpen your skills 🏠Work remotely from anywhere 💼 3000 - 4200 euros Gross Salary/month 💛 About us We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple e-commerce businesses with great products. For the past 7 years, we’ve gathered a powerful community of over 1 million people globally, empowering people to build and sustain healthy habits in an enjoyable way. Our digital and physical products, the Conqueror Challenges App and epic medals, have helped users walk, run, cycle, swim, and move through the virtual equivalents of iconic routes. We’ve partnered with Warner Bros., Disney, and others to launch global hits like THE LORD OF THE RINGS™, HARRY POTTER™, and STAR WARS™ virtual challenges. Now, we’re stepping into an exciting new chapter! While continuing to grow our core business, we’re actively acquiring and building new e-commerce brands. We focus on using our marketing and operational strengths to scale these businesses, striving to always be outstanding in everything we do and delivering more value to more people. Show more Show less
🚀 About the Role We're looking for a relentlessly curious Data Engineer to join our team as a Marketing Platform Specialist. This role is for someone who will dedicate themselves to extracting every possible byte of data from marketing platforms - the kind of person who gets excited about discovering hidden API endpoints and undocumented features.. You'll craft pristine, high-resolution datasets in Snowflake that fuel advanced analytics and machine learning across the business. 🎯 The Mission Your singular focus: extract every drop of value from the world’s most powerful marketing platforms. Where others use 10% of a tool’s capabilities, you’ll uncover the hidden 90% — from granular auction insights to ephemeral algorithm data. You’ll build the intelligence layer that enables others to scale smarter, faster, and with precision. 🧪 What You’ll Actually Do Platform Data Extraction & Monitoring Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior Exploit beta features and undocumented endpoints to unlock advanced data streams Capture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shifts Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay Scrape competitor websites and dissect tracking logic to reveal platform strategies Business Scaling & Optimization Datasets Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks Advanced Feature & AI Data Engineering Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows Enrich historical marketing data using automated pipelines and AI-powered data cleaning Unified Customer & Attribution Data Build comprehensive GA4 datasets using precise tagging logic and event architecture Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching Map cross-device customer journeys with detailed attribution paths and timestamp precision Snowflake Architecture & Analytics Enablement Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning Use S3 and data lakes to manage large-scale, unstructured data across channels Implement architectures suited for exploration, BI, real-time streaming, and ML modeling — including star schema, medallion, and Data Vault patterns Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay 🎓 Skills & Experience Required 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing Advanced Python for API extraction, automation, and orchestration JavaScript proficiency for tracking and GTM customization Expert-level experience with GA4 implementation and data handling Hands-on experience with Snowflake, including performance tuning and scaling Comfortable working with S3 and data lakes for semi/unstructured data Strong SQL and understanding of scalable data models 🤞Bonus Points if You Have Experience with dbt for transformation and modeling CI/CD pipelines using GitHub Actions or similar Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness Familiarity with GPU computing for high-performance data workflows Data app development using R Shiny or Streamlit 🚀 You'll Excel Here If You Are: Relentlessly curious : You don’t wait for someone to show you the API docs; you find the endpoints yourself Detail-obsessed : You notice the subtle changes, the disappearing fields, the data drift others overlook Self-directed: You don’t need micromanagement. Just give you the mission, and you’ll reverse-engineer the map Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth 🔥Why the Conqueror: ⭐️Shape the data infrastructure powering real business growth 💡Join a purpose-driven, fast-moving team 📈 Work with fast-scaling e-commerce brands 🧠Personal development budget to continuously sharpen your skills 🏠Work remotely from anywhere 💼 3000 - 4200 euros Gross Salary/month 💛 About us We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple e-commerce businesses with great products. For the past 7 years, we’ve gathered a powerful community of over 1 million people globally, empowering people to build and sustain healthy habits in an enjoyable way. Our digital and physical products, the Conqueror Challenges App and epic medals, have helped users walk, run, cycle, swim, and move through the virtual equivalents of iconic routes. We’ve partnered with Warner Bros., Disney, and others to launch global hits like THE LORD OF THE RINGS™, HARRY POTTER™, and STAR WARS™ virtual challenges. Now, we’re stepping into an exciting new chapter! While continuing to grow our core business, we’re actively acquiring and building new e-commerce brands. We focus on using our marketing and operational strengths to scale these businesses, striving to always be outstanding in everything we do and delivering more value to more people.
🚀 About the Role We're looking for a relentlessly curious Data Engineer to join our team as a Marketing Platform Specialist. This role is for someone who will dedicate themselves to extracting every possible byte of data from marketing platforms - the kind of person who gets excited about discovering hidden API endpoints and undocumented features.. You'll craft pristine, high-resolution datasets in Snowflake that fuel advanced analytics and machine learning across the business. 🎯 The Mission Your singular focus: extract every drop of value from the world’s most powerful marketing platforms. Where others use 10% of a tool’s capabilities, you’ll uncover the hidden 90% — from granular auction insights to ephemeral algorithm data. You’ll build the intelligence layer that enables others to scale smarter, faster, and with precision. 🧪 What You’ll Actually Do Platform Data Extraction & Monitoring Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior Exploit beta features and undocumented endpoints to unlock advanced data streams Capture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shifts Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay Scrape competitor websites and dissect tracking logic to reveal platform strategies Business Scaling & Optimization Datasets Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks Advanced Feature & AI Data Engineering Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows Enrich historical marketing data using automated pipelines and AI-powered data cleaning Unified Customer & Attribution Data Build comprehensive GA4 datasets using precise tagging logic and event architecture Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching Map cross-device customer journeys with detailed attribution paths and timestamp precision Snowflake Architecture & Analytics Enablement Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning Use S3 and data lakes to manage large-scale, unstructured data across channels Implement architectures suited for exploration, BI, real-time streaming, and ML modeling — including star schema, medallion, and Data Vault patterns Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay 🎓 Skills & Experience Required 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing Advanced Python for API extraction, automation, and orchestration JavaScript proficiency for tracking and GTM customization Expert-level experience with GA4 implementation and data handling Hands-on experience with Snowflake, including performance tuning and scaling Comfortable working with S3 and data lakes for semi/unstructured data Strong SQL and understanding of scalable data models 🤞Bonus Points if You Have Experience with dbt for transformation and modeling CI/CD pipelines using GitHub Actions or similar Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness Familiarity with GPU computing for high-performance data workflows Data app development using R Shiny or Streamlit 🚀 You'll Excel Here If You Are: Relentlessly curious : You don’t wait for someone to show you the API docs; you find the endpoints yourself Detail-obsessed : You notice the subtle changes, the disappearing fields, the data drift others overlook Self-directed: You don’t need micromanagement. Just give you the mission, and you’ll reverse-engineer the map Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth 🔥Why the Conqueror: ⭐️Shape the data infrastructure powering real business growth 💡Join a purpose-driven, fast-moving team 📈 Work with fast-scaling e-commerce brands 🧠Personal development budget to continuously sharpen your skills 🏠Work remotely from anywhere 💛 About us We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple e-commerce businesses with great products. For the past 7 years, we’ve gathered a powerful community of over 1 million people globally, empowering people to build and sustain healthy habits in an enjoyable way. Our digital and physical products, the Conqueror Challenges App and epic medals, have helped users walk, run, cycle, swim, and move through the virtual equivalents of iconic routes. We’ve partnered with Warner Bros., Disney, and others to launch global hits like THE LORD OF THE RINGS™, HARRY POTTER™, and STAR WARS™ virtual challenges. Now, we’re stepping into an exciting new chapter! While continuing to grow our core business, we’re actively acquiring and building new e-commerce brands. We focus on using our marketing and operational strengths to scale these businesses, striving to always be outstanding in everything we do and delivering more value to more people.
💛 About us We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple international e-commerce businesses with great products. Over the past 8 years, we’ve built a global community of 1M+ people through The Conqueror Challenges—a platform that turns fitness into an epic adventure with virtual routes & real medals. We partnered with some of the biggest entertainment companies and launched virtual challenges like THE LORD OF THE RINGS, HARRY POTTER, STAR WARS, and other fantasy challenges, along with real-world routes in order to help people build and sustain healthy habits in an enjoyable way. Now, we're stepping into an exciting new chapter! While we continue to grow our main business of virtual challenges, we're actively acquiring and developing new brands at a global scale. We focus on using our marketing and operational strengths to scale these businesses, striving to always be outstanding in everything we do and delivering more value to more people. 🔍 About the role We are looking for a highly skilled Web Analytics & Tracking Lead to join our data driven team. In this role, you will own the complete analytics and tracking infrastructure that powers how we understand, acquire, and convert our users. From building custom JavaScript events in GTM to extracting insights from GA4 and BigQuery, you'll design and implement tracking strategies that capture every meaningful interaction, configure GA4 properties that answer our toughest business questions, and build Power BI dashboards that turn user behavior into clear, actionable insights. 💻 Key Responsibilities: Lead behavioral analysis across our digital properties (websites and app) to understand user journeys, segmentation, drop-off points, and conversion funnels. Design, implement, test, and manage a robust event-tracking strategy using Google Tag Manager (GTM) , ensuring accurate data capture for all key user interactions. Serve as the subject matter expert for Google Analytics (GA4) , configuring properties, setting up custom events, creating audiences, and building advanced exploratory reports. Analyze funnel performance from acquisition to conversion and retention, identifying friction points and providing actionable recommendations to product and marketing teams. Create, maintain, and enhance interactive Power BI dashboards that visualize user behaviour, funnel metrics, A/B test results, and marketing KPIs. Take ownership of existing Power BI dashboards , enhancing and adapting them to new business questions and data sources. Develop and optimize DAX calculations to support complex behavioral and marketing analysis within Power BI. Write and optimize SQL queries (especially on BigQuery) to extract, transform, and blend GA4 data, app data, and other data sources. Craft compelling data narratives that transform complex behavioral data into actionable insights that lead to high quality traffic and conversion rate improvement . 🏆 Skills & Experience Required: Expert-level proficiency with Google Tag Manager (GTM) , including complex event creation using custom Javascript code, trigger configuration, and variable management. Expert-level proficiency with Google Analytics (GA4) , including its data model, reporting, audience building, event configuration, and custom funnel reports. Strong proficiency with Power BI . Solid DAX knowledge for creating calculations and measures to answer business questions. Direct experience querying and analyzing GA4 data stored in BigQuery using SQL. Experience with A/B testing platforms (e.g. Convert, Optimizely) and statistical analysis. Ability to translate complex business requirements into effective tracking strategies and analytical solutions. Since we are hiring remotely, you must have the legal right to work as a contractor. 🔥Why The Conqueror: You'll get all the standard benefits plus: Working with an innovative, fast-moving marketing team constantly testing new strategies to optimise performance. Contributing to exciting new business ventures in e-commerce, with the opportunity to grow and make an impact across multiple industries, globally. Personal development budget to continuously sharpen your skills and grow your career in a highly flexible, fast-paced environment.