A Data Engineer with a strong DevOps orientation is needed to support the client in automating and optimizing deployments to accelerate the delivery pace. Responsibilities include designing and maintaining efficient data pipelines in cloud environments, automating deployments and infrastructure using Infrastructure as Code (IaC), and collaborating with development and operations teams to improve CI/CD processes.
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A Data Engineer with DevOps experience is needed to design, build, and maintain scalable data pipelines in the cloud. The ideal person combines skills in data engineering and infrastructure automation, contributing to the efficiency and quality of data processes. Responsibilities include: Developing and optimizing ETL/ELT pipelines implementing DevOps practices, and administering data infrastructure in the cloud.
Lead and manage the DataOps team, providing technical guidance, mentorship, and performance management to ensure high-quality work and successful project delivery. Analyze business requirements and propose appropriate technologies to address business needs, ensuring the scalability, performance, and security of Trustly's data systems. Collaborate with other teams to ensure seamless integration of our data systems with other business functions.