Trustly

People Operations

• Act as the subject matter expert for all HR systems
• Drive system improvements, integrations, and automations to improve efficiency and accuracy
• Partner with HR, Payroll, and IT teams to manage system configurations, permissions, and workflows
• Support the implementation and roll-out of new tools or system modules
• Create and maintain reports and dashboards to support People analytics and compliance
• Train People team members and managers on system usage and best practices
• Ensure data integrity and support audits through regular system maintenance and checks
• Lead or support change management and communication efforts related to systems and processes

People Systems Partner

Data Engineer

• At Trustly: mission to deliver a better way to pay and get paid; making Pay by Bank the new standard at checkout; connecting merchants and consumers globally.
• Work-from-anywhere policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence; remote-first culture in Brazil.
• About the team: The DataOps team ensures data from applications, APIs, and tools is delivered in a secure, scalable, and structured way across multiple environments; works with batch (Airflow) and streaming (Kafka) pipelines; maintains platforms like Redshift and QuickSight; enables analytics and supports Data Science.
• Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.).
• Manage and evolve client-faced tools and frameworks for data processing (e.g., QuickSight, Redshift Editor, Athena IDE, Metabase).
• Build and maintain secure, automated CI/CD pipelines for data components and infrastructure-as-code.
• Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform.
• Provide development environments, standardized workflows, and tooling (e.g., Sagemaker Studio, Athena IDE, Redshift Editor, etc.) to improve developer experience.
• Support version control, release workflows, and automation for data transformation, jobs, data workloads and integrations used by data producers and consumers.
• Ensure high availability and performance of data tools through observability and alerting integrations.
• Implement data quality and validation checks (e.g., dbt tests, unit tests).
• Contribute to maintaining data catalogs and documentation for lineage and governance.
• Investigate and resolve issues in data pipelines, workloads, and integrations to ensure SLAs are met.
• Documentation of data flows, architectural setup and data model.

DataOps Engineer, Data Tools

Support Engineer

• Trustly is a Pay by Bank fintech connecting merchants and consumers across banks and countries.
• Provide Tier 2 technical services to merchants and internal teams (investigation and resolution of queries, real-time merchant technical escalations, developer support).
• Manage incidents proactively and reactively following ITIL best practices and support Post Incident Reviews (PIR).
• Perform advanced technical support including log analysis, diagnostics, debugging, and RESTful API troubleshooting.
• Escalate to Tier 3 (Engineering and SRE) for support requests and incidents, and test/validate bug fixes.
• Create and maintain issue logs, knowledge base articles, internal tools, and documentation; provide internal training and customer communication as needed.
• Participate in on-call rotation and external notifications and change management.

People Systems Partner

DataOps Engineer, Data Tools

Associate Technical Support Analyst