Are you passionate about data, real-time pipelines, and high-impact decision-making? Do you want to build and scale a cutting-edge data platform that transforms how we handle marketing, customer engagement, and personalization?
Our MarTech Data Engineering team bridges the gap between marketing, data, and business strategy, handling high-volume data from various sources, including digital advertising platforms, internal customer insights, and real-time event streams. We’re looking for a Data Engineer to help us build scalable data solutions that power advanced marketing analytics, customer segmentation, and real-time personalization.
What You’ll Do
- Design and Develop Data Pipelines: Build and optimize ETL/ELT processes and data pipelines handling 100M+ changes daily.
- Enable Personalization & Decision Making: Power marketing strategies and customer engagement tools by integrating data from Google Ads, Meta Ads, TikTok, Twitter, and other platforms.
- Model Data for Insights & Reporting: Design clean, structured data models in Snowflake (or similar analytical databases) that fuel campaign analytics, LTV models, and budget optimization.
- Collaborate Across Teams: Work with data analysts, product managers, and marketing teams to translate business needs into scalable data solutions.
- Experiment & Innovate: Introduce new technologies and influence data architecture decisions to push the boundaries of MarTech innovation.
What We’re Looking For
Must-Have Skills
- Strong experience with ETL, batch, and data pipelines
- Good experience in Python, SQL, and/or Scala
- Experience with Snowflake, BigQuery, or similar analytical databases
- Ability to design and implement report-ready data layers for analytics & BI teams
- Ability to work with marketing and product teams to translate business requirements into data solutions
Bonus Points If You Have
- Experience with Airflow or other orchestration tools
- Familiarity with Kafka, Spark, or real-time data processing
- Knowledge of LTV modeling, marketing attribution, and customer segmentation
- Exposure to machine learning pipelines for marketing analytics
Why Join Us?
- Work on a high-scale, cutting-edge data platform
- Direct impact on marketing strategy, customer engagement, and revenue growth
- A collaborative, cross-functional environment with data, product, and marketing teams
- Opportunities to introduce new technologies and shape data architecture
- Solve complex, high-volume data challenges in a fast-paced, innovative industry
If you’re excited about working at the intersection of data, technology, and marketing—and want to push the boundaries of MarTech innovation—we’d love to hear from you!
