English-speaking jobs in Seia

Data Engineer to build, maintain, and monitor real-time data pipelines processing payment transactions. Investigate fraud cases, analyze transaction data, and translate findings into improved rules and data logic.

Operational Excellence HR Trainee will support meeting management, project governance, HR quality, and knowledge management. Requires a degree in Business Administration, Human Resources, Communications, or related fields, strong organizational skills, proficiency in MS Office, and fluency in English.

Develop and optimize Talend ETL/ELT workflows for data integration and transformation. Build scalable data pipelines across databases, cloud platforms, and APIs. Collaborate with business analysts and data architects to translate requirements into integration solutions.

Senior/Lead Data Engineer with 5+ years of experience in cloud-native data engineering. Expertise in end-to-end data architecture, including ingestion, modeling, storage, and orchestration. Proficiency in Microsoft cloud technologies (Fabric, Azure Data Factory, Synapse) and data warehousing/lake solutions. Strong programming skills (Python, SQL, Spark) and experience with DevOps/DataOps practices. Excellent communication and mentorship skills.

Lead Backend Developer (Go/Kotlin) will design and develop scalable microservices, own infrastructure provisioning with Terraform, and migrate data from a legacy system to GCP. Must have 5+ years of backend development experience, proficiency in Go or Kotlin, and experience with GCP and Terraform.

Financial Analyst to perform first-level trading control, reconcile trades, monitor give-up requests, and interact with brokers. Requires a bachelor's degree, 1+ year of banking or financial operations experience, and fluency in English.

Senior Product Designer will shape product and key initiatives. Must have 6 years of experience in product design, strong visual design skills, and experience conducting user research. Full professional proficiency in English is required.

Business Analyst to support IT Finance and Risk teams on strategic projects in a financial and technology environment.

Develop and maintain web applications using React, Angular, and Next.js. Build scalable back-end services with Node.js and integrate them through GraphQL and REST APIs. Translate business needs into technical solutions and collaborate with teams to design and deliver new features.

Consultant to support transformation projects for diverse clients, developing and implementing strategies across marketing, customer, operating models, commerce, and loyalty.

Junior Application Support Engineer will develop technical and functional knowledge to handle support for assigned applications. Responsibilities include incident management, process improvement, documentation, and collaboration with development teams.

Data Governance Engineer will support metadata management, data lineage, data quality, and automation initiatives. Responsibilities include supporting data catalog initiatives, contributing to data governance practices, assisting with Airflow DAGs, and supporting data pipeline reliability. Requires 2+ years of experience in data governance, data engineering, or a related field.

Sales Account Manager will manage existing customer relationships, present business solutions, and support restaurants with their online marketing and revenue management. Must have experience as a sales representative or account manager, be fluent in Portuguese and English, and have experience with outbound and inbound calls.

Junior HR Information System Specialist to support HRIT initiatives and system operations. Assist with implementation, configuration, and optimization of HR tools. Provide user support and translate HR processes into system setups.

RPA UiPath Developer needed with a Bachelor's degree in Computer Science, Information Systems, or a related field and 3 years of experience. Proven experience with UiPath, system integration, and data manipulation is required. Must have knowledge of Excel, databases, and enterprise applications.

Senior Data Engineer with 5+ years experience in a fast-paced environment. Expert in SQL, Python, Azure Data Factory, and Databricks. Strong understanding of data modeling methodologies.

Develop and maintain production-grade ML features (e.g., intent detection, sentiment analysis) for millions of users. Design, build, and optimize scalable ML pipelines for processing large text datasets. Collaborate with ML Scientists and Product teams to productionize models and experiment with emerging AI technologies. Lead technical design, code reviews, and architecture decisions for ML/AI systems. Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability). Mentor junior engineers and share knowledge of model development, deployment, and best practices. Investigate and resolve complex production issues.

Logistics Assistant needed for inbound/outbound movements, shipment discrepancy resolution, and end-to-end documentation processing. Requires 1 year of experience, fluency in English, Microsoft Office proficiency, and strong research, analytical, and communication skills. Must be detail-oriented, able to negotiate, manage priorities, and work independently or collaboratively.

Finance Controller CMO will consolidate and report on the Medical Business Units for all Operations financial controlling requirements across 45+ countries and 5 regions. The role involves collaborating with local markets, regional management, and Global CMO on financial matters, providing insights on asset and resource utilization, and ensuring compliance with IFRS, ICS, and internal guidelines. The ideal candidate will have a degree in Business Economics with 5 to 7 years of experience in Controlling within a multinational environment, preferably in biopharma or a similarly regulated industry.

Data Engineer with a Bachelor's degree in a related field and Azure certifications. Experience with Azure services for data engineering and analytics, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Proficiency in Python, SQL, or C# for data pipelines and automation. Knowledge of data modeling, transformation, and security best practices. Excellent communication and problem-solving skills. Fluent in English.