*Senior Data Engineer

About Us Coderio designs and delivers scalable digital solutions for global businesses. With a strong technical foundation and a product mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that makes a difference. Learn more: Role Overview In this role, as a Senior Data Engineer, you will play a key role in shaping and evolving the foundation of scalable data platforms. You will design and implement high-performance infrastructure to ingest, process, and serve large volumes of data, ensuring performance, reliability, and cost efficiency across cloud environments. Your focus will be on building high-quality, reusable data pipelines and frameworks that enable analytics, AI initiatives, and business insights at scale. You will collaborate closely with cross-functional teams—Data Analysts, Machine Learning Engineers, and Software Developers—to establish data governance, standardize best practices, and drive a culture of data-driven decision-making. As a technical reference within the team, you will also mentor junior engineers and contribute to the long-term architectural roadmap of the company’s data ecosystem. Responsibilities Design, architect, and evolve scalable infrastructure to ingest, transform, and serve data efficiently. Develop, maintain, and optimize data pipelines and frameworks for batch and real-time processing. Ensure data quality, consistency, and observability across systems and workflows. Lead improvements in existing pipelines to enhance performance, reliability, and cost-effectiveness. Implement and enforce strong data governance practices that promote accessibility and trust in data assets. Collaborate with engineering and analytics teams to define data models, schemas, and ETL/ELT strategies. Investigate and resolve complex data issues, maintaining robustness and system resilience. Stay up to date with industry trends and propose innovative solutions to enhance the data architecture. Requirements 8+ years of proven experience as a Data Engineer or Backend Developer in data-intensive environments. Strong proficiency in Python and SQL for building scalable data pipelines. Solid experience with distributed data processing frameworks such as Apache Spark, Hadoop, Hive, or Presto. Deep understanding of data modeling, transformation, and data warehouse design principles. Hands‑on experience with cloud platforms such as AWS, GCP, or Azure (S3, Redshift, Glue, Lambda, EMR, etc.). Familiarity with data governance, data quality monitoring, and metadata management practices. Proficiency in ETL/ELT frameworks and workflow orchestration tools. Experience with version control systems (GitHub or similar). Strong analytical thinking, problem‑solving skills, and attention to detail. Advanced or fluent level of English (written and spoken). Nice to Have Experience in data architecture and design for scalability. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Exposure to Airflow, Prefect, or similar orchestration tools. Understanding of data lakehouse architectures. Benefits 100% remote – Long‑term commitment, with autonomy and impact. Strategic and high‑visibility role in a modern engineering culture. Collaborative international team and strong technical leadership. Clear path to growth and leadership within Coderio. Why join Coderio? At Coderio, we value talent regardless of location. We are a remote‑first company, passionate about technology, collaborative work, and fair compensation. We offer an inclusive, challenging environment with real opportunities for growth. If you are motivated to build solutions with impact, we are waiting for you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr