Job Summary: We are seeking a hands-on Data Engineer to build the company's data foundation — from raw sources to cloud environments and Data Lakes. Key Highlights: 1. Data Lake construction and evolution, and structured data layer development 2. Relational and analytical data modeling for technical architecture 3. Collaborative environment with a culture of knowledge sharing and innovation **Welcome to OpenCircle!** At OpenCircle, we believe in the power of collaboration, innovation, and continuous growth. We are on a journey to transform the world through software — and the Data & Cloud team is a key driver of this evolution. **Who We Are** We are a technology company specializing in Systems Development, offering a comprehensive portfolio for digital transformation — focused on innovation and tangible results. Our purpose is to become the world’s best Technology Consulting firm, delivering exceptional journeys for our clients. **Our Values** Deadlines Are Sacred • We Take Responsibility 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** with a hands-on, structural mindset — someone who will build the company’s data foundation, from sources such as Excel and raw files to organizing that information in cloud environments and Data Lakes. * ️ This is **not** a BI or purely analytical role. We seek an engineering-minded professional capable of organizing, modeling, and structuring data so it can later be consumed visually and strategically. **️ Your Day-to-Day Responsibilities** Structure and organize data originating from Excel, CSV, and other unstructured sources Design and maintain data pipelines for ingestion, transformation, and loading into cloud environments Support the construction and evolution of Data Lakes (e.g., S3) and structured data layers Perform relational and analytical data modeling, bridging business needs with technical architecture Ensure data quality, standardization, and reliability (data quality) Automate processes for data updates and processing Prepare data for consumption by visualization tools (BI), ensuring performance and organization Work closely with business teams to understand data origins and translate them into scalable data structures Support defining best practices for data governance, naming conventions, and data organization **Nice-to-Have Qualifications:** Experience with orchestration tools (Airflow, Glue, Data Factory, or similar) Proficiency in Python for data manipulation Experience with Data Warehouse or modern architectures (Lakehouse) Familiarity with data governance and documentation (e.g., data dictionary, versioning) Experience integrating data into visualization tools such as Power BI, Looker, or Tableau **What You’ll Find Here** A collaborative environment Respect for diversity A culture of knowledge sharing Incentives for innovation A flat, dynamic organizational structure Flexible working hours Join us and be part of this incredible journey! Welcome aboard, Green Blood! Requirements: Practical experience with advanced Excel (structuring datasets, organizing raw data) Experience ingesting and transforming data from CSV, spreadsheets, and multiple sources Intermediate/advanced SQL (joins, CTEs, aggregations, modeling) Experience or knowledge of Cloud platforms (AWS, Azure, or GCP) Familiarity with or experience in Data Lake (e.g., S3) and layered data organization Knowledge of relational data modeling Familiarity with ETL/ELT processes Analytical, structured mindset with strong focus on data quality
João Silva
Indeed · HR
João Silva
Indeed · HR
