Data Engineer - Data & Analytics

Description

Job Summary: We are seeking a Data Engineer to build and evolve our data platform, ensuring quality and scalability for strategic decision-making. Key Highlights: 1. Work on building and evolving a data platform. 2. Focus on collaboration, innovation, and continuous growth. 3. Collaborative environment that encourages innovation and flexibility. Welcome to OpenCircle! At OpenCircle, we believe in the power of collaboration, innovation, and continuous growth. We are on an exciting journey to transform the world through software — and you can be a key part of this mission. Who Are We? We are a technology company specializing in Systems Development and Digital Transformation, with a focus on innovation and tangible results. Our purpose is to become the world’s best Technology Consulting firm, delivering an extraordinary journey for our clients. Our Values * Deadlines Are Sacred * We Are Accountable for Our Actions * We Act with Transparency * We Focus on Results * We Put Ourselves in Others’ Shoes * We Pursue Excellence * We Are Fully Committed * We Are Ambitious and Passionate About the Journey We are looking for a **Data Engineer** to build, evolve, and maintain our data platform, ensuring quality, reliability, and scalability of analytical solutions. If you enjoy structuring data, managing complexity, and building robust pipelines that support strategic decisions, this opportunity is for you. **Key Responsibilities** Develop and maintain data ingestion, transformation, and delivery pipelines using Python and Airflow. Work on evolving the data architecture based on Delta Lake. Ensure data quality, consistency, and integrity throughout the lifecycle (source → transformation → consumption). Model data for analytical and operational consumption. Support the definition and application of data engineering standards. Collaborate with Engineering, Product, Architecture, and BI teams. Document data entities, structures, and flows clearly for technical consumers. Contribute to continuously improving pipeline reliability and observability. **️ Preferred Qualifications:** Experience with cloud environments (AWS, Azure, or GCP). Experience with BI tools (e.g., Superset, Power BI). Experience with distributed environments and large-scale data volumes. Knowledge of event-driven architecture. **Expected Profile** Strong ability to organize and structure data. Attention to technical detail and quality. Ability to handle medium-complexity technical problems. Clear communication with technical teams. Collaborative mindset and focus on continuous improvement. **What You’ll Find Here** Collaborative environment Respect for diversity Culture of knowledge sharing Incentive for innovation Flat and dynamic organizational structure Flexible working hours Requirements: Experience in Data Engineering. Practical experience with Python for pipeline development. Experience with Airflow (or similar orchestration tools). Experience with Data Lake or Data Lakehouse-based architecture. Advanced SQL. Experience with data modeling. Experience with Git. Benefits Hiring Type: PJ (Individual Contractor) Work Mode: 100% Remote