Lead Data Engineer - Marketing Platforms Specialist

🚀 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

extract every drop of value

🧪 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

be the best at growing multiple e-commerce businesses with great products.

empowering people to build and sustain healthy habits in an enjoyable way.

we’re actively acquiring and building new e-commerce brands.