Since 2019 ADFERENCE is a subsidiary of the fashion-tech company ABOUT YOU. We are a fast-growing, innovative tech company that provides online marketing solutions for Google Ads and Amazon. Our tool helps large agencies and brands like Snocks, Spreadshirt and Lampenwelt to optimize their Amazon Advertising and Google Ads campaigns.
Job DescriptionWe’re looking for a mid-level Data Engineer to strengthen our internal data platform and help product teams ship faster, more reliable data-powered features.
You’ll join our Engineering Foundation chapter, collaborating closely with DevOps, product engineers, and other data engineers to build, operate, and evolve the systems that power our products.
There will be close collaboration with our team of cross-functional engineers to help create impactful and reliable insights from our data.
Your Responsibilities:
Design and build new data-powered features for internal and external products, working closely with product and frontend/backend engineers.
Develop and maintain scalable, well-documented data pipelines using Airflow and dbt, running on Snowflake and other modern cloud tooling.
Create internal tools, APIs, or utilities to make data more accessible and usable across engineering and product teams.
Contribute to the architecture and implementation of new data products, from ingestion to modeling to serving.
Set up and monitor data quality, freshness, and health, integrating observability into everything you ship.
Build and maintain CI/CD workflows for DAGs, dbt models, and platform configuration using GitOps principles.
Troubleshoot pipeline issues and performance bottlenecks, and proactively improve resilience and execution speed.
Collaborate with product teams to identify opportunities to simplify and scale data workflows.
Collaborate on platform improvements like cost-optimization, model run tracking, and efficient use of compute/storage.
What We’re Looking For
Required:
2–4 years of experience in data engineering or platform-oriented backend roles
Solid experience with:
Airflow DAGs or other task orchestration
dbt (Core or Cloud) for data modeling
Snowflake or similar cloud data warehouse
SQL and Python for scripting and operational logic
CI/CD pipelines (e.g. GitHub Actions)
Familiar with observability and monitoring (e.g., Datadog, data freshness checks)
Comfortable working at the intersection of data pipelines, infrastructure, and developer experience
Bonus:
Experience in cost-aware data operations or platform governance
Exposure to ML workflows and model/data validation patterns
Top Skills
What We Do
SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.
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