Winover is an organization committed to the well-being and growth of its employees. Our work environment is dynamic, welcoming, and collaborative, offering opportunities for continuous development and team recognition. We believe our employees are the key to the company’s success; therefore, we prioritize work-life balance and promote practices that ensure quality of life at work. We are seeking a **Mid/Senior Data Engineer**, passionate about data, architecture, and scalability, to build, evolve, and maintain robust, secure, and high-performance data pipelines in an AWS environment. The professional will be responsible for developing and maintaining ETL/ELT processes, integrating multiple data sources (APIs, relational databases, files, messaging systems), structuring analytical layers, and directly supporting BI, Analytics, and Artificial Intelligence initiatives. We seek someone with strong Python proficiency, solid data engineering experience, and understanding of best practices in data modeling, versioning, observability, and data governance. Hands-on experience with scalable data environments—especially on AWS cloud—is essential. We work with SaaS products, ERPs, and data platforms; thus, experience with corporate environments, operational data, and complex integrations is considered a significant advantage. What we offer: **Positive Work Environment:** We believe a healthy organizational climate is fundamental to everyone’s well-being. Here, you’ll find a team of colleagues and managers ready to support your development. **Growth Opportunities:** We invest in our employees’ professional growth through training programs and internal promotions. **Attractive Benefits:** In addition to market-competitive compensation, we offer benefits that ensure quality of life, such as health insurance and wellness programs. **Responsibilities and Duties** * Develop, maintain, and enhance data pipelines (ETL/ELT) using Python. * Build integrations with diverse data sources (REST APIs, SQL/NoSQL databases, files, messaging systems). * Perform data modeling for analytical layers (Bronze, Silver, Gold or equivalents). * Work with AWS services for data ingestion, processing, storage, and consumption. * Ensure data quality, reliability, traceability, and performance. * Implement best practices for versioning, monitoring, and failure handling in pipelines. * Support BI, Analytics, and AI teams in correct data consumption. * Participate in code reviews, technical discussions, and continuous improvements to data architecture. * Document workflows, pipelines, business rules, and data architecture. **Requirements and Qualifications** * Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related fields. * Solid experience as a Data Engineer (Mid or Senior level). * Proficiency in Python, with focus on data processing and transformation. * Practical experience with ETL/ELT and data pipelines. * Hands-on AWS experience (e.g., S3, EC2, RDS, Lambda, Glue, Athena, Redshift or similar). * Knowledge of relational databases (PostgreSQL, MySQL, SQL Server or similar). * Experience with code versioning (Git). * Ability to handle large volumes of data and multiple sources. * Strong communication skills, organizational ability, and a collaborative mindset. **Differentiators That May Set You Apart** * Experience with layered data architectures (Bronze / Silver / Gold, Data Lake, Data Warehouse). * Experience with orchestration tools (Airflow, Prefect, Dagster or similar). * Experience with BI and Analytics tools (Superset, Power BI, Looker, etc.). * Knowledge of messaging and streaming technologies (Kafka, SQS, SNS, Pub/Sub). * Familiarity with SaaS environments, ERPs, or corporate systems. * Experience with CI/CD for data pipelines. * Knowledge of data quality, testing, and observability. * Experience with data for Machine Learning or AI products. **Additional Information** * Employment type: Independent Contractor (PJ). * Remote or hybrid work (depending on location and team dynamics). * Collaborative environment focused on agile delivery, continuous learning, and innovation. **More than a Contact Center—we’re Credit Recovery specialists.** ------------------------------------------------------------------------------ A company that goes beyond financial results. Here, we value people, because we believe engaged professionals deliver the best solutions to help customers recover their credit. We are looking for new talents who can join forces with our current team. Interested? **Then check out our open positions and** **\#joinwinover****!** ----------------------------------------------------------