Data Engineer – Global

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Design, develop, and sustain scalable ETL/ELT pipelines.

• Integrate data from both internal and external systems, including CRMs, LMS, marketing platforms, databases, etc.

• Create and manage API integrations (REST/JSON, OAuth, etc.).

• Automate repetitive data processes utilizing Python (or similar scripting languages).

• Design and uphold data models that are optimized for analytics and operational reporting.

• Collaborate with cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data storage and retrieval.

• Implement data validation and monitoring systems to guarantee accuracy and reliability.

• Actively monitor and troubleshoot data pipeline failures.

• Develop dashboards and data applications using low-code/no-code platforms (e.g., Power BI, Retool, Coda, Tableau, Google Sheets).

• Convert complex datasets into clear, actionable insights for business stakeholders.

• Work closely with analysts, data scientists, and business teams to establish KPIs and reporting requirements.

• Propose enhancements to current data flows and business processes.

• Maintain organized and detailed technical documentation (pipelines, integrations, data definitions, architecture).

• Engage in cross-functional discussions to ensure technical implementations align with business needs.

⛳️ Requirements

• Strong expertise in Python (or a similar scripting language) for data manipulation and automation.

• Advanced knowledge of SQL and experience in data modeling.

• Practical experience with API integrations (REST, JSON, OAuth) and related tools (e.g., Postman).

• Experience with cloud platforms (GCP, AWS) and cloud data warehouses.

• Familiarity with orchestration tools (e.g., Airflow, dbt, or similar frameworks).

• Knowledge of Git and CI/CD processes.

• Experience with low-code/no-code platforms for data visualization or workflow automation.

• Strong understanding of business processes and KPI-driven decision-making.

• 1–4 years of experience in a data engineering or data-focused position.

• Experience in developing and customizing internal tools using Retool, with a working knowledge of JavaScript.

• Proficiency in optimizing query performance and cost efficiency in cloud environments.

• Familiarity with real-time data streaming solutions.

• Background in supporting AI/ML data pipelines.

• Excellent data storytelling and stakeholder communication abilities.

🏝️ Benefits

• Flexible full-time schedule. We emphasize results over hours worked: manage your own time, stay connected with the team, and meet deadlines.

• Choose to work remotely, onsite, or in a hybrid model — the choice is yours! Our modern workspace in Kyiv is fully equipped with everything you need.

• Enjoy access to all Laba Group courses for you and your family.

• Financial support for external training, sports, and mental and physical health, helping you maintain balance and prioritize your well-being.

• Unlimited vacation after 6 months of working with us. Plan according to your needs and adjust based on workload intensity because rest is vital for your health.

• We foster a supportive environment where facing challenges and making mistakes is not intimidating.

• Join a community of like-minded individuals and become part of a larger network. A service that genuinely prioritizes the client.

• No micromanagement or bureaucracy — just streamlined processes. Feel free to experiment, propose, and implement your ideas.

• We encourage a proactive mindset, bold ideas, and a readiness to adapt to change.

• A socially responsible atmosphere: we frequently initiate charity projects and fundraisers to support Ukraine and its defense forces.

• Opportunities for vertical and horizontal growth: 83% of our Heads of Departments and Team Leaders have been promoted from within.