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Arcoeducacao is hiring a Staff Analytics Engineer for a fully remote role. This position centers on building analytical solutions that inform business decisions and support key initiatives.
This is a remote position. Work from anywhere.
Arcoeducacao is a leading education technology company in Brazil, dedicated to transforming educational experiences through innovative solutions. We strive to empower institutions with the tools they need to succeed in a rapidly changing educational landscape.
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Search for Analytics Engineer with Data Engineering Expertise
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Ebury empowers ambitious businesses to achieve global growth, and we extend the same philosophy to our team members. We promote innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and equipped to succeed.If you're a collaborative individual eager to reshape global business operations, we i…
BTG Pactual
About the Department:The Data Department at BTG Pactual is continuously evolving and plays a crucial role in establishing the bank's new business models. With this strategic mission, we aim to build a team of high excellence to tackle significant and impactful challenges.This position is part of the Data Analytics team, which employs the most advanced big data technologies to support various areas of the bank in their daily operations.Your challenge will be to develop efficient data ingestion pipelines, as well as to structure and organize data layers, ensuring quality, governance, and security. You will collaborate with different teams to understand their needs, translate requirements into scalable and efficient solutions, ensuring that data is available, intact, and ready to generate strategic value for the business.
Swile
Join Swile as an Analytics Engineer where you will play a pivotal role in transforming data into actionable insights. Your expertise will help us enhance our decision-making processes and drive our growth strategy forward. You will collaborate closely with cross-functional teams to design, develop, and maintain data pipelines and analytical models.
Role overview Jobgether is hiring a Business Intelligence Engineer focused on Data Programming & Analytics in Brazil. This role blends data engineering, business intelligence, and market analytics to deliver insights that guide strategic and commercial choices. What you will do Transform large, complex datasets into structured, automated, and reusable reporting tools. Develop scalable data pipelines to improve reporting efficiency and enable data-driven decisions across the company. Build reliable data models that clarify ambiguous business challenges and produce actionable insights. Work with Sales, Product, Finance, Research, and Legal teams to deliver intelligence supporting global market activities. Improve the quality and consistency of index-related intelligence used throughout the organization. Who thrives in this role Engineers with strong programming skills and a practical approach to building data solutions. People who enjoy collaborating with cross-functional teams and turning business needs into technical results. Those comfortable handling ambiguity and translating complex problems into clear, data-driven answers. Location This position is based in Brazil.
Experian
Join Experian as an Analytical Engineering III professional, where you will play a crucial role in developing innovative analytical solutions. Collaborate with cross-functional teams to enhance data-driven decisions and drive business growth.
Join the Analytics Team at TRACTIANAt TRACTIAN, our Analytics team is dedicated to creating and sustaining a seamless flow of data—from the intricate pipelines to the impactful dashboards that deliver actionable insights to our customers and internal data products. We pride ourselves on ensuring the data we provide is not only reliable and trustworthy but also meaningful, integrating information from diverse sources and delivering it efficiently. Our primary mission is to transform raw data into insightful and reliable products that empower users across the organization.Key ResponsibilitiesAs an Analytics Engineer, you will be instrumental in designing, constructing, and overseeing robust data pipelines and dashboards that enable business teams to derive actionable insights. You will collaborate closely with data analysts, data scientists, and business stakeholders to uphold data quality, streamline data workflows, and facilitate self-service analytics, fostering data-driven decision-making throughout the organization.
At bv, we pride ourselves on being one of the largest private banks in Brazil, as recognized by the Central Bank's ranking. For the second consecutive year, we have been honored as the best financial institution to work for in Brazil, according to the GPTW 2025 ranking! We also received the Diversity seal in the Women's category, reinforcing our commitment to equity.Our culture is genuinely lived out: we are simple, correct, collaborative, and courageous. We value relationships, innovation, and a light work environment that is increasingly collaborative and intentionally advancing diversity and inclusion.We are in a constant state of evolution and are building successful partnerships to fulfill our purpose of making the financial lives of individuals and businesses easier.Do you resonate with this mission? If so, we would love for you to join our team!We are on the lookout for a Specialist in Analytics Engineering and AI to serve as a technical reference and accelerate our journey in data and artificial intelligence. This senior role involves substantial engagement in modern data engineering and applied AI, acting as a bridge between data pipelines, analytical modeling, data products, and intelligent solutions. The individual will be responsible for evolving our Lakehouse, structuring analytical transformation practices and models, ensuring data governance and quality, and enabling AI cases such as RAG, internal agents, and predictive models. We seek a senior professional with a platform vision, strong structuring ability, technical influence, excellent communication skills, and the capability to connect Analytics Engineering and AI comprehensively.
Role Overview Arcoeducacao is hiring a Staff Analytics Engineer for a fully remote role. This position centers on building analytical solutions that inform business decisions and support key initiatives. What You Will Do Work closely with teams across the company to turn data into actionable insights Develop and refine analytics tools and processes that improve business performance Support strategic projects with data-driven analysis Location This is a remote position. Work from anywhere.
Experian
Join our team as a Senior Data Engineer, where you will play a pivotal role in the development, enhancement, and maintenance of data engineering solutions. Your focus will be on ensuring scalability, performance, and reliability of our analytical platforms, with a strong emphasis on generating business value and informed decision-making.Your Daily Responsibilities Will Include:Designing, implementing, and maintaining end-to-end data pipelines (ingestion, transformation, and consumption);Building and evolving data lakes with Bronze, Silver, and Gold layers;Developing data processing solutions using Python and Databricks;Orchestrating workflows by creating and managing DAGs;Utilizing both relational and non-relational databases for analysis and query optimization;Creating and enhancing executive and analytical dashboards to support decision-making;Collaborating with business, analytics, and technology teams while adhering to best practices and quality standards.Qualifications:Proven experience in data engineering and data lake architecture;Proficiency in PostgreSQL and MongoDB, along with SQL optimization skills;Strong background in data visualization tools such as Power BI, Tableau, or QuickSight;Experience in developing pipelines using Python, PySpark, and Databricks;Expertise in data orchestration with Apache Airflow;Hands-on experience with AWS services (S3, Redshift, Athena, ECS, Lambda, APIs);Familiarity with complete ETL/ELT processes;Keen understanding of agile methodologies and experience with Jira.Preferred Qualifications:Experience in cost reduction and performance optimization within data environments;Involvement in NLP and machine learning projects related to data;Technical leadership or participation in the restructuring of dashboards and analytical environments;Knowledge of data-oriented architectures and best governance practices.About Us:Serasa Experian is globally recognized for its people-first culture, diversity, and innovation. We offer an inclusive, collaborative environment with real growth opportunities, backed by certifications such as Great Place To Work™ and Top Employers, along with high ratings on Glassdoor.#LI-HYBRIDJoin us at #TimeVeloz. Let's grow together and continue transforming lives.
RecargaPay
Join Us in Transforming the Financial Landscape for Millions!At RecargaPay, our mission is to provide an unparalleled payment experience for Brazilian consumers and small businesses. We are dedicated to creating a robust digital ecosystem that connects the banked and unbanked, offering a comprehensive one-stop solution for all financial needs.With over 12 million users and an impressive annual transaction volume exceeding USD 4 billion, we have been profitable since 2022 and proudly operate our own credit business. As an AI-first, fully remote team, we are rapidly scaling in Brazil's dynamic financial market.Our vision? To deliver the ultimate payment experience for individuals and small enterprises across Brazil.We highly value autonomy, ownership, and a proactive mindset. We seek individuals who are curious, hands-on, and driven by meaningful impact—those eager to tackle real challenges, collaborate with talented teams, and redefine possibilities.If you’re ready to contribute your best work, at scale, with purpose—this is your opportunity.
Arco Educação
Empowered by People Who Transform Education All positions at Arco are open to People with Disabilities. We are Arcotech, the technology team at Arco Educação. We develop digital solutions that engage students, parents, and schools to facilitate a more dynamic and effective learning experience. Our team is composed of passionate individuals who believe in the power of technology and education. Together, we aim to combine these two forces to enhance the learning experience. Our mission goes beyond innovation; we strive to amplify the impact of education on individuals, which drives us forward. Through learning solutions, estimations, and relationships, we assist schools in becoming better, bigger, and more appealing to students, educators, and families. #VEMPRAARCO #VEMSERTECH Now that you have an insight into our essence, let’s discuss the opportunity! What Challenges Await You With Us?Collaborate with various departments to understand business needs and propose optimal data modeling solutions;Translate business concepts into quantitative metrics (KPIs, OKRs, etc.);Design and structure data for analytical purposes following best practices, including data quality and documentation;Manage workflows related to data pipelines. What We Hope You Bring:Experience in implementing, maintaining, and monitoring data pipelines;Advanced SQL skills;Experience with analytical data modeling (star schema, snowflake, and data vault);Knowledge of architectural techniques for analytical purposes (Data Mart, Data Lake, Data Warehouse, Data Mesh, etc.);Familiarity with data visualization tools (Looker, Metabase, Power BI, etc.);
Platform Science
Location: Londrina, Brazil Platform Science develops technology that connects moving assets across the supply chain. Since 2015, the company has offered an open IoT platform and now works with fleets, app creators, vehicle manufacturers, and equipment providers to support logistics professionals worldwide. The team values a mix of backgrounds and experiences. Employees help shape the company’s direction through their perspectives and ideas. Platform Science encourages careful decision-making, empathy, and creative approaches to challenges. Collaboration and transparency are central to how the group works together. Role overview This intermediate-level Data Engineer role is based in Londrina. The position focuses on building and maintaining data solutions that support connected assets and supply chain technology. Expect to work closely with colleagues from different backgrounds in a collaborative setting. What you will do Develop and maintain data pipelines and systems for the IoT platform Work with teams across the company to support new and existing solutions Contribute to projects that help connect and manage moving assets Requirements Experience as a data engineer or in a similar technical role Ability to collaborate with diverse teams Strong problem-solving and communication skills
Capco is a global technology and consulting firm dedicated to the financial services and energy sectors. We are passionate about empowering our clients and have 40 offices across the Americas, Europe, and Asia-Pacific! If you thrive on creativity and innovation, Capco is the perfect fit for you. We will support you in accelerating your career!We are looking for a hands-on Senior Engineer to design, build, and operate enterprise solutions using Microsoft Fabric (Lakehouse) and Power BI focused on marketing and customer analytics. You will be responsible for end-to-end delivery, including data ingestion and orchestration (Fabric Data Factory), transformations with Spark (PySpark/Spark SQL), lakehouse modeling in the medallion architecture (Bronze/Silver/Gold), semantic model design, and performance optimization in Power BI. A solid background in production environments with incremental loads/CDC, data quality validations, security (RLS), monitoring/alerts, and deployment practices (Dev/Test/Prod) is essential.
At CI&T, we are experts in technological transformation, merging human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters globally, we have partnered with more than 1,000 clients throughout our 30-year history. Artificial Intelligence is not just a buzzword for us; it is our reality.Important: If you reside in the Metropolitan Region of Campinas, attendance at our offices in the city will be mandatory according to our current attendance policy.Key Responsibilities- Collaborate with clients to leverage our AWS Analytics and ML service offerings, including Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker, and more. Assist clients in overcoming barriers to harnessing their data for insightful business development.- Produce white papers, write blogs, create demos, and develop other reusable materials for our clients. Work in close partnership with our Solution Architects, Data Scientists, and Service Engineering teams.- Utilize deep expertise in services such as Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies, and other third-party solutions for design, development, and operations.- Formulate and define key business questions and construct datasets that provide answers. Collaborate with business customers to understand their requirements and implement effective solutions.Basic Qualifications- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related field.- Over 5 years of experience in Data platform implementation, including at least 3 years of hands-on experience with Kinesis/Kafka/Spark/Storm technologies.- Proven experience providing analytic solutions for Marketing or Risk needs in enterprises.- Fundamental understanding of machine learning principles.- Ability to integrate Machine Learning models into data pipelines.- Over 5 years of experience in IT platform implementation.- Familiarity with tools such as Flink, Spark, Sqoop, Flume, Kafka, and Amazon Kinesis.- Proficient in software development using languages like Java, JavaScript, Python, etc.- Current hands-on implementation experience is essential.Preferred Qualifications- Master’s or PhD in Computer Science, Physics, Engineering, or Mathematics.- Hands-on experience with large-scale data science and analytics projects.- Strong leadership abilities across various organizational levels.- Practical experience with Data Analytics technologies, including AWS, Hadoop, Spark, Spark SQL, Mlib, or Storm/Samza.- Experience implementing AWS services in diverse distributed computing and enterprise environments.- Proficiency in at least one programming language, such as C++, Java, or Python.
About the Team:Join our dedicated Automation team at BTG Pactual, where we focus on integrating data, machine learning, and intelligent agents to enhance analytical capabilities and operational efficiency at the largest investment bank in Latin America. We develop advanced models, analyses, and tools that support strategic decision-making and impact various business areas.As a member of the Data & AI team, you will be involved in creating machine learning models, developing applications with intelligent agents, conducting exploratory analyses, and delivering ad-hoc analytical projects. You will work closely with business areas to understand their needs, propose data-driven solutions, and transform requests into high-impact analytical products.Your Daily Responsibilities:Model Development: Create, train, validate, and tune supervised and unsupervised models to solve real business challenges.Intelligent Agents Application: Design and implement solutions using autonomous agents and advanced AI tools for analytical automation and decision-making.Exploratory Analyses: Conduct statistical studies and data explorations to identify patterns, trends, and optimization opportunities.Ad-hoc Analytical Deliveries: Provide on-demand analyses catering to various departments with diagnostics, insights, and data-based recommendations.Stakeholder Collaboration: Collaborate with business experts, Product Owners, engineers, and other teams to convert requirements into comprehensive and functional analytical solutions.Quality and Best Practices: Contribute to the continuous improvement of analytical processes and standards, ensuring organization, version control, and proper code review and maintenance practices.Documentation: Develop technical documentation on models, analyses, workflows, and methodological decisions, ensuring ease of maintenance and evolution of solutions.
Launch Potato
WHO ARE WE?Launch Potato is a thriving digital media enterprise, attracting over 30 million monthly visitors through our well-known brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through innovative and data-driven content and technology.With our headquarters in South Florida and a remote-first approach that allows us to collaborate across 15 countries, we have cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact are paramount to our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, driving innovation, and achieving impactful results with a global team of high achievers.
Valtech is looking for a Senior Data Scientist with strong experience in marketing analytics and Google Cloud Platform (GCP). This remote position is open to candidates based in Brazil. Role overview This role focuses on developing digital solutions that enhance customer experiences for major brands. The work centers on marketing analytics, using GCP tools and infrastructure to support data-driven decision-making and drive industry change. What you will do Apply marketing analytics expertise to real-world business challenges. Build and refine solutions on Google Cloud Platform. Contribute to projects that improve how customers interact with digital products. Collaborate with a team that values ongoing learning and encourages meaningful input. Requirements Senior-level experience in data science, with a focus on marketing analytics. Hands-on proficiency with Google Cloud Platform. Ability to work remotely from Brazil.
Launch Potato
WHO ARE WE?Launch Potato is a thriving digital media company that attracts over 30 million monthly visitors through renowned brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our mission is to connect consumers with the world's top brands via data-driven content and cutting-edge technology.Headquartered in South Florida, we operate with a remote-first culture, leveraging a high-performance team spread across more than 15 countries. We thrive on speed, ownership, and measurable impact to ensure our success.WHY JOIN US?At Launch Potato, you'll fast-track your career by taking ownership of outcomes, working swiftly, and making a significant impact alongside a global team of high achievers.
About Valtech Valtech partners with major global brands to deliver experience innovation. The company supports professional growth and values-driven work, creating space for people to thrive and influence the future of customer experiences. Role Overview: Data Analyst - Adobe Analytics (Remote, Brazil) This role focuses on analyzing digital data using Adobe Analytics to help shape customer experiences for clients across different industries. The position sits within a team that values learning and encourages making a real impact through data-driven insights.
encora10
encora10 is seeking a Lead Data Engineer based in Brazil to guide the design, development, and implementation of scalable data automation solutions. This position plays a central role in shaping data architecture and ensuring that engineering efforts align with broader business objectives. What you will do Lead and mentor a team of data engineers, sharing technical guidance and best practices to support high-quality project outcomes. Develop and carry out a data migration plan, moving from Snowflake on AWS to Azure Databricks and DBT. Collaborate with cross-functional teams to make sure data initiatives support organizational goals. Design and maintain secure, dependable data pipelines and infrastructure within Azure. Use Terraform to implement infrastructure-as-code, improving consistency and maintainability. Facilitate data integration between Snowflake and Azure, ensuring smooth and reliable data flows. Oversee data transformation frameworks with Databricks and DBT, encouraging reusable design patterns. Set data engineering standards and governance practices to promote quality and compliance. Identify potential risks, troubleshoot complex issues, and implement long-term solutions. Lead documentation efforts to maintain clarity around architecture and processes across the data platform. Requirements Extensive experience as a Data Engineer, including technical leadership. Strong background in architecting and implementing data solutions using Snowflake, Azure Databricks, and DBT. Hands-on expertise with Terraform and infrastructure-as-code principles. Ability to work collaboratively with cross-functional teams and stakeholders. Experience establishing data engineering standards and governance practices.
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