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About the role
- 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) to ensure efficient storage and retrieval.
- Implement data validation and monitoring mechanisms to ensure 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 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.
- 2–4 years of experience in a data engineering or data-focused role.
- 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.
Benefits
- Flexible full-time. We focus on results, not hours worked: manage your own time, stay connected with the team, and meet deadlines.
- Remote, onsite, or hybrid — it’s up to you! Our modern workspace in Kyiv is fully equipped with everything you need.
- Access to all Laba Group courses for you and your family.
- Compensation for external training, sports, and mental and physical health, helping you stay balanced 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 essential for your health.
- We create a supportive environment where facing challenges and making mistakes isn’t scary. A place to find like-minded people and become part of a larger community. A service that truly puts the client first.
- No micromanagement or bureaucracy — only automated processes. Feel free to experiment, propose, and implement your ideas.
- We champion a proactive mindset, bold ideas, and a willingness to embrace change. Laba isn’t about going with the flow — it’s about pushing the world forward.
- We provide only up-to-date insights from market experts—knowledge that can be immediately applied in practice, transforming workflows even during the learning process. Our products are designed for decisive action in business and careers.
- A socially responsible environment: we regularly launch charity projects and fundraisers to support Ukraine and its defense forces.
- Vertical and horizontal growth: 83% of our Heads of Departments and Team Leaders have been promoted internally.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLAPI integrationsdata modelingdata manipulationdata validationdata monitoringdata visualizationcloud data warehousesorchestration tools
Soft Skills
data storytellingstakeholder communicationcollaborationproblem-solvingKPI-driven decision-making