Do you love turning complex marketing data into business-driving insights?
Are you passionate about building scalable data pipelines that influence real revenue decisions?
We are looking for a Data Engineer to join our growing data team and work at the intersection of data engineering, growth marketing, and decision intelligence.
What you’ll do
Design and own scalable, reliable data pipelines using Python, SQL, and modern cloud tools
Lead ingestion and modeling of Meta Ads (Facebook) and marketing platform data
Build high-quality datasets that power campaign performance, attribution, and lead funnel analysis
Partner closely with marketing, growth, and product teams to translate business needs into impactful data solutions
Drive data quality, governance, and observability, ensuring data is trusted and actionable
Influence both technical architecture and business outcomes
What we’re looking for
Strong hands-on expertise in Python and advanced SQL
Experience building ETL/ELT pipelines, working with APIs, and orchestration tools like Airflow
Solid understanding of Meta Ads ecosystem, attribution models, and lead-generation metrics
A mindset focused on ownership, impact, and scalable engineering practices
Why join us
Work on high-impact problems in performance marketing and attribution
Own meaningful end-to-end data products, not just pipelines
Collaborate with smart, driven teams that value engineering excellence and accountability
Enjoy great perks – including a day off every 3rd Friday, wellness benefits, and more