Staff DataOps Engineer

3 semanas atrás


Vitória, Brasil Trustly Tempo inteiro

Join to apply for the Staff DataOps Engineer (Data Platform) role at Trustly 1 day ago Be among the first 25 applicants Join to apply for the Staff DataOps Engineer (Data Platform) role at Trustly Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Trustly Senior Talent Acquisition Partner | Tech Recruiter | Employer BrandingWHO WE ARE At Trustly, we’re on a mission to deliver a better way to pay and get paid. Consumers deserve a payment option that prioritizes financial responsibility, and merchants should have the independence to accept payments without unnecessary costs. This mission drives everything we do. We’re revolutionizing the payments industry by making Pay by Bank the new standard at checkout, providing a smarter payment option to credit and debit cards. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease. Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers through 12,000 banks across 33 countries, processing over $58 billion annually. As the leader in Pay by Bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value. With regional offices in Vitória, Brazil and Silicon Valley, USA, and our global headquarters in Stockholm, Sweden, we are a diverse team that spans over 30 nationalities. Embracing a culture of innovation and collaboration, our 'work from anywhere' policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence, enabling flexibility while staying connected to our global team. At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind. Now is the perfect time to join us and help accomplish our mission. If you’re inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we’d love to hear from you About the team The DataOps team at Trustly ensures that data from applications, APIs, and tools is delivered in a secure, scalable, and structured way across multiple environments. We work with batch (Airflow) and streaming (Kafka) pipelines, automate processes, and build observability to guarantee data quality. Our scope includes maintaining platforms like Redshift and QuickSight, enabling analytics, and supporting Data Science with infrastructure for model development. By delivering reliable and accessible data, we empower teams to make better decisions, improve productivity, and fight fraud. We are continuously evolving, focusing on automation, monitoring, and scalable services to strengthen Trustly’s data ecosystem. WHO WE ARE At Trustly, we’re on a mission to deliver a better way to pay and get paid. Consumers deserve a payment option that prioritizes financial responsibility, and merchants should have the independence to accept payments without unnecessary costs. This mission drives everything we do. We’re revolutionizing the payments industry by making Pay by Bank the new standard at checkout, providing a smarter payment option to credit and debit cards. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease. Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers through 12,000 banks across 33 countries, processing over $58 billion annually. As the leader in Pay by Bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value. With regional offices in Vitória, Brazil and Silicon Valley, USA, and our global headquarters in Stockholm, Sweden, we are a diverse team that spans over 30 nationalities. Embracing a culture of innovation and collaboration, our 'work from anywhere' policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence, enabling flexibility while staying connected to our global team. At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind. Now is the perfect time to join us and help accomplish our mission. If you’re inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we’d love to hear from you About the team The DataOps team at Trustly ensures that data from applications, APIs, and tools is delivered in a secure, scalable, and structured way across multiple environments. We work with batch (Airflow) and streaming (Kafka) pipelines, automate processes, and build observability to guarantee data quality. Our scope includes maintaining platforms like Redshift and QuickSight, enabling analytics, and supporting Data Science with infrastructure for model development. By delivering reliable and accessible data, we empower teams to make better decisions, improve productivity, and fight fraud. We are continuously evolving, focusing on automation, monitoring, and scalable services to strengthen Trustly’s data ecosystem. What you will do: Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.) Manage and evolve internal tools and frameworks for data ingestion and processing (e.g., Airbyte, Debezium, Airflow) Build and maintain secure, automated CI/CD pipelines for platform components and infrastructure-as-code Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform Support version control, release workflows, and automation for notebooks, jobs, and tools used by data producers and consumers Ensure high availability and performance of core data infrastructure through observability and alerting integrations Guarantee data quality, lineage, and governance using tools such as dbt, and Data Catalogs Implement robust monitoring and observability practices for data pipelines and workflows Act as a technical leader and mentor, supporting other engineers in developing solutions and promoting DataOps best practices Contribute to the definition of data architectures, strategies across the organization and design patterns Who you are: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, IT, or related technical field Proven experience designing and building large-scale data pipelines, architectures, and datasets Strong expertise with AWS services (EKS, EC2, EMR, RDS) and big data tools (Spark, Redshift) Proficiency in relational databases (preferably Postgres), advanced SQL, data modeling, and data warehousing Hands-on experience with Infrastructure as Code (Terraform), Kubernetes, Docker, and CI/CD tools Solid background in automation and workflow orchestration (e.g., Airflow) Advanced programming skills in Python Ability to act as a reference for other engineers, guiding technical decisions, proposing scalable solutions, and promoting best practices in data engineering and DataOps Strong ability to work with cross-functional teams (data, infrastructure, security, product), fostering integration and alignment across areas Ability to understand the broader data architecture and the business impact of technical decisions, considering scalability, cost, security, and governance Ability to identify improvement opportunities, take initiative, and propose solutions without relying on constant direction Skilled at translating complex technical concepts into accessible language for both technical and non-technical stakeholders. Key for leading discussions, documenting decisions, and influencing stakeholders Flexibility to handle frequent changes, evolving priorities, new technologies, and high-complexity contexts Advanced English skills 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; Team 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; Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance; Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that Check out our Glassdoor or our Brazil Life page on Linkedin for more details about Brazil, our culture, and much more. 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. Seniority levelSeniority levelNot Applicable Employment typeEmployment typeFull-time Job functionJob functionEngineering and Information Technology Referrals increase your chances of interviewing at Trustly by 2x Sign in to set job alerts for “Staff Software Engineer” roles.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr


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