At MacPaw, we craft software that makes everyday tech life simpler, cleaner, and more enjoyable. From globally loved products like CleanMyMac and Setapp to emerging cybersecurity tools like ClearVPN and Moonlock, we are building a product ecosystem that reaches millions of people worldwide.
We believe humans and technology can reach their greatest potential together. By fusing high engineering standards, thoughtful design, and practical AI, we rethink how people interact with their devices and shape the daily tech routines of the future.
Working at MacPaw means owning outcomes, not just tasks. We build for global scale from day one, giving you the trust, freedom, and room to experiment.
If you like building real systems at the intersection of data, backend engineering, and AI, this role is for you. We’re looking for a Data Engineer specialist to take ownership of our MarTech data infrastructure — from automating data flows and writing backend services to integrating LLMs and designing APIs across our entire data ecosystem.
In this role, you will:
Build and maintain Airflow DAGs to integrate new data sources into BigQuery and GCS.
Integrate new MarTech and SaaS tools via external APIs and automate end-to-end data flows.
Build analytical models, data marts, staging layers, testing, and documentation using dbt.
Develop backend services, API layers, and internal tooling on top of data integrations using FastAPI and Django.
Integrate LLM frameworks (LangChain, LangGraph, Haystack, LlamaIndex) and automation tools like n8n into internal systems.
Design, build, and support ETL/ELT pipelines and operational workflows across PostgreSQL and BigQuery.
Participate in architecture design for new systems, data infrastructure, and automation services.
Skills you’ll need to bring:
At least 3 years of Data Engineering experience, backed by professional Python skills for building production-ready code and backend services.
Strong SQL knowledge with hands-on experience in BigQuery and PostgreSQL.
Practical experience with dbt (data modeling, testing, and documentation).
Hands-on experience with Apache Airflow for writing and maintaining DAGs.
Solid understanding of data modeling principles (OLAP/OLTP, data marts, Kimball / Inmon methodologies).
Proven experience integrating external APIs and third-party SaaS services.
Practical experience with LLM frameworks (LangChain, LangGraph, Haystack, or LlamaIndex).
Experience with containerization and CI/CD tools (Docker, Git, CI/CD pipelines).
At least an Intermediate level of English and fluent Ukrainian.
As a plus:
Familiarity with the MarTech ecosystem and marketing data workflows.
Basic experience or familiarity with Kubernetes.
Experience with React or Vue for internal UI development.
What we offer:
We are a Ukrainian company, and we stand with Ukraine against the russian aggression We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
We are committed to our veterans Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
Hybrid work model Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
Your health always comes first We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
Flexible working hours You can choose a schedule that is comfortable for you. No one here tracks your clock in/
