Senior Data Engineer

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