Ramūnas Volkovas
+370 677 44543
ramunas@indigroup.lt
We’re looking for a Senior Data Engineer to help architect, build, and optimize the data infrastructure that fuels Stokex’s products, insights, and machine learning systems.
What You’ll Do
- Design, build, and maintain scalable, reliable data pipelines and ETL processes
- Collaborate with data scientists, analysts, and software engineers to support diverse data needs
- Architect and optimize data storage solutions using internal and third-party tools
- Implement and uphold best practices for data quality, governance, and security
- Build frameworks for real-time data streaming and batch processing
- Mentor junior engineers and help shape the future of Stokex’s data engineering culture
What We’re Looking For
- 5+ years of experience in data engineering or a related field
- Deep proficiency in SQL: creating, optimising, maintaining large databases
- Ability to write production level code in Python
- Experience with pipeline orchestration tools like Airflow, Singularity, etc.
- Experience working with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
- Experience building data feeds using various APIs via REST or Websocket protocols
- Proven ability to design and maintain scalable data architectures
- Bonus: Experience in financial services or fintech environments
We hope that you like
- International work environment: the product will applied in the US market with the help of a talented and enthusiastic team
- A connected team: You will join a small team of Machine Learning/Deep Learning experts who are looking to transform technology
- Flexible work environment: Feel free to chose to work in a spacious and cozy offie in Vilnius city centre as well as an ability to work remotely
- Performance-based bonuses