Medior Data Engineer

• Develop scalable, resilient, high-quality data solutions to support analytics, reporting, and machine learning workloads
• Design, implement, and maintain reliable ETL/ELT pipelines that integrate, cleanse, and consolidate data from diverse internal and external sources, including APIs and third-party systems
• Ensure data is accurately ingested, transformed, stored, and made accessible through robust testing frameworks and clearly defined business rules
• Translate business requirements into scalable data models and transformation logic, working with large, multidimensional datasets to surface insights, trends, and opportunities
• Build and maintain the BI reporting codebase, ensuring high standards of data integrity, availability, and performance across the organization
• Create and maintain backend infrastructure that supports analytics platforms, dashboards, and machine learning pipelines
• Develop and execute unit and integration tests for data pipelines and transformation scripts to ensure reliability and consistency
• Proactively identify inefficiencies and bottlenecks in data flows and propose scalable, forward-looking solutions
• Partner closely with product managers, engineers, commercial teams, and business stakeholders to understand strategy and data needs, aligning delivery with the BI roadmap
• Contribute to team growth through code reviews, design discussions, and knowledge sharing, while staying current with industry best practices
• Take ownership of the quality, integrity, and consistency of the BI data codebase and associated datasets
• Ensure ETL efficiency and data availability to meet stakeholder requirements and business SLAs
• Adhere to engineering best practices, including documentation, version control, and maintainable code standards
• Support and deliver against team OKRs and KPIs, contributing to overall team and business success

• 3+ years of back-end and/or data engineering experience, delivering production-grade data solutions
• Demonstrated experience working in a global or international environment, collaborating across regions and time zones
• Strong SQL expertise with hands-on Python scripting experience for data extraction, transformation, and analysis
• Proven experience ingesting and processing data from external APIs and third-party data sources
• Strong experience working with cloud infrastructure and modern data warehousing solutions (ideally GCP and BigQuery)
• Solid understanding of BI data architecture, with experience using version control systems such as GitHub or GitLab
• Demonstrated ability to understand business logic behind datasets, ensuring high standards of data quality, consistency, and trust
• Highly analytical and detail-oriented, with a focus on building reliable, scalable data solutions
• Comfortable working with unstructured or imperfect data, transforming it into actionable insights
• Strong collaboration skills, with experience working effectively in global, multicultural teams
• Excellent communication skills, with the ability to translate complex technical concepts into clear insights for non-technical stakeholders

Experience with BI and visualization tools such as Looker, Tableau, or similar platforms is a plus

• full remote opportunity
• competitive compensation
• freedom to innovate
• multicultural environment