Data Engineer (All projects, Global)

Data Engineer

Laba Group is one of the largest international EdTech companies in Eastern Europe, dedicated to improving lives through systematic knowledge. With over 800 colleagues, we have launched more than 1,400 courses and educated over 200,000 students globally through our five online education brands: Laba, Skvot, robot_dreams, Vocabulaba, and elvtr.

About the Role

We are seeking a Data Engineer responsible for designing, building, and maintaining a scalable data infrastructure that supports analytics, reporting, and business decision-making. This role focuses on developing robust data pipelines, integrating diverse data sources, ensuring data quality, and delivering business-driven data solutions aligned with company goals.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Integrate data from internal and external systems (CRMs, LMS, marketing platforms, databases, etc.).
• Develop and maintain API integrations (REST/JSON, OAuth, etc.).
• Automate recurring data processes using Python (or similar scripting languages).
• Design and maintain data models optimized for analytics and operational reporting.
• Work with cloud data warehouses (e.g., BigQuery, Snowflake) for efficient storage and retrieval.
• Implement data validation and monitoring mechanisms for accuracy and reliability.
• Proactively monitor and resolve data pipeline failures.
• Create dashboards and data applications using low-code/no-code platforms (e.g., Power BI, Retool, Coda, Tableau, Google Sheets).
• Translate complex datasets into clear, actionable insights for business stakeholders.
• Collaborate with analysts, data scientists, and business teams to define KPIs and reporting requirements.
• Suggest improvements to existing data flows and business processes.
• Maintain structured and comprehensive technical documentation (pipelines, integrations, data definitions, architecture).
• Participate in cross-functional discussions to align technical implementation with business needs.

Requirements

• Strong proficiency in Python (or similar scripting language) for data manipulation and automation.
• Advanced SQL knowledge and experience in data modeling.
• Hands-on experience with API integrations (REST, JSON, OAuth) and related tools (e.g., Postman).
• Experience working with cloud platforms (GCP, AWS) and cloud data warehouses.
• Experience with orchestration tools (e.g., Airflow, dbt, or similar frameworks).
• Familiarity with Git and CI/CD processes.
• Experience with low-code/no-code platforms for data visualization or workflow automation.
• Solid understanding of business processes and KPI-driven decision-making.
• 1–4 years of experience in a data engineering or data-focused role.

Nice-to-Have Skills

• Experience developing and customizing internal tools using Retool, with working knowledge of JavaScript.
• Experience optimizing query performance and cost efficiency in cloud environments.
• Exposure to real-time data streaming solutions.
• Experience supporting AI/ML data pipelines.
• Strong data storytelling and stakeholder communication skills.

Why Laba Group is the Place to Be

• Flexible Work: Full-time with a focus on results, not hours. Manage your own time, stay connected, and meet deadlines.
• Work Location Flexibility: Remote, onsite, or hybrid options available. A modern workspace in Kyiv is available.
• Learning & Development: Access to all Laba Group courses for you and your family. Compensation for external training, sports, and health.
• Unlimited Vacation: Available after 6 months, planned according to your needs.
• Supportive Environment: A place to find like-minded people, free from micromanagement and bureaucracy.
• Innovation: Champion a proactive mindset, bold ideas, and embrace change.
• Up-to-Date Insights: Access to current market knowledge that can be immediately applied.
• Social Responsibility: Regular charity projects and fundraisers.
• Growth Opportunities: High rate of internal promotions for Heads of Departments and Team Leaders.

Recruitment Process

1. Interview with Recruiter
2. Test Task
3. Interview with HM's Team

We are looking for bold and collaborative individuals to join our team for an amazing journey.