We're a team of 600+ professionals who develop cutting-edge web data gathering solutions for thousands of the world's best-known businesses, including Fortune 500 companies.
What’s in store for you:
As our Analytics Engineer, you will become a crucial partner to our Finance team, helping to define and maintain the global view of our company's metrics. You won't just be building data tables, you will participate in discussions with our financial analysts to drive crucial commercial decisions. In addition, you'll be diving into the technical challenges of automating the finance team’s workflows, including engineering solutions to handle API integrations, reverse ETL processes, and the monitoring of sensitive data pipelines.
This is an excellent opportunity to work with complex SQL logic, wrangle huge datasets (hundreds of TBs) and implement interesting automation projects.
Your day-to-day:
- Partner with financial analysts to define and maintain the global view of company metrics, actively participating in discussions to support crucial commercial decisions.
- Push the limits of dbt by developing scalable data models and writing custom macros to handle complex business logic, ensuring our code remains DRY and efficient.
- Build end-to-end automations (using Python, Airflow, or n8n) to handle API integrations and reverse ETL processes that sync data back to operational systems.
- Manage financial data pipelines by implementing rigorous monitoring, data quality tests, and freshness standards to guarantee trust in the numbers.
Your skills & experience:
- dbt mastery. You are comfortable writing custom macros, packages, and optimizing project structures.
- Proficiency in SQL (performance tuning, readability) and at least one programming language, ideally Python.
- Knowledge of some DataOps practices and tools including version control systems (e.g., Git), Docker, and CI/CD.
- Experience with cloud infrastructure (ideally Google Cloud).
- High degree of ownership.
- Ability to prototype solutions quickly.
- Technical aptitude and comfort with engineering-related discussions.
- Excellent at communicating in both written and spoken Lithuanian and English.
Nice to have:
- Familiarity with workflow automation tools (e.g., n8n).
- Experience with reverse ETL patterns or tools.
- Background in finance, fintech, or ecommerce data domains.
*Our tech stack:
Our Salary & Work Benefits Package:
- Gross salary: 3500 - 4800 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
- To support your professional growth and make you feel taken care of, we’ve put together an expansive benefit package. It covers learning, well-being, celebration, and much more — learn all about it here.
