DataOps Engineer at trustly

WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers.  If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. What you’ll do • Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.). • Data Modeling & Transformation: Design, develop, and maintain modular and scalable data models (using dbt and SQL) within our Redshift data warehouse to transform raw data into analytics-ready layers. • 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, ensuring SLAs are met. • Documentation of data flows, architectural setup and data model. Who you are • Bachelor’s or Master’s degree in IT/Math/CS/Engineering or other technical discipline • Successful history of building big data pipelines, and orchestrating data workloads • Experience with AWS cloud services (EKS, EC2, EMR, RDS) and big data tools (Spark, Redshift) • Experience with relational databases (preferably Postgres), strong SQL coding, data modeling, data warehouses • Experience with IaC, Terraform, etc • Experience with Kubernetes, Docker • Experience with CI/CD tools • Experience with automation and workflow management tools (e.g. Airflow, Sagemaker) • Python programming skills • Professional working proficient in English for daily collaboration across a distributed global team Our perks and benefits: • Bradesco health and dental plan, for you and your dependents, with no co-payment cost; • Life insurance with differentiated coverage; • Meal voucher and supermarket voucher; • Home Office Allowance; • Wellhub - Platform that gives access to spaces for physical activities and online classes; • Trustly Club - Discount at educational institutions and partner stores; • English Program - Online group classes with a private teacher; • Extended maternity and paternity leave; • Birthday Off; • Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil; • Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!; • Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that! At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work.  All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.