Data Engineer (AWS, Redshift & Spark)

Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

In this role, you will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack Studio and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in São Paulo as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

You will have a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some leading AI and data experts in the industry.

Your Qualifications and Skills

• Degree in Computer Science/Engineering, or equivalent experience
• 2+ years’ experience in a data-focused role (internships, academic projects)
• Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL
• Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)
• Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)
• Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles
• Exceptional time management in a complex and largely autonomous work environment
• Willingness to learn quickly and adapt to different project situations and tech stacks
• Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
• Strong communication skills, both verbal and written, in English and Portuguese

Infosys Brasil
está em busca de profissionais com o perfil de
Data Engineer (AWS | Databricks | Python)
para juntar-se ao nosso time.

Qualificações Requeridas

• Experiência sólida como Data Engineer.
• Domínio em Python e Spark SQL, com foco em desenvolvimento no ambiente Databricks.
• Conhecimento prático em serviços AWS, como: S3, EC2, Lambda, SQS, SNS, DynamoDB e OpenSearch.
• Experiência com bancos de dados relacionais e linguagem SQL para manipulação e análise de dados.
• Vivência com controle de versão utilizando GitHub.
• Experiência com automação de pipelines CI/CD, utilizando GitHub Actions ou ferramentas similares.
• Inglês avançado ou fluente para comunicação em ambiente global.

Diferenciais (conhecimentos Desejáveis)

• Experiência em projetos de engenharia de dados em ambientes cloud, especialmente AWS.
• Familiaridade com arquitetura de dados escalável e boas práticas de engenharia de dados.
• Conhecimento em processamento de dados em larga escala (big data).
• Experiência prévia em ambientes ágeis (Scrum/Kanban).
• Forte capacidade analítica e orientação a dados.

Principais Atividades e Responsabilidades

• Desenvolver, manter e otimizar pipelines de dados utilizando Python, Spark e SQL, com foco em ambientes Databricks.
• Atuar na construção e sustentação de soluções de engenharia de dados em ambiente AWS, garantindo alta disponibilidade e performance.
• Integrar diferentes fontes de dados, assegurando qualidade, governança e confiabilidade das informações.
• Automatizar processos de desenvolvimento e deploy por meio de pipelines de CI/CD.
• Colaborar com equipes multidisciplinares (dados, negócios e tecnologia) para entendimento de requisitos e entrega de soluções eficientes.
• Realizar code review e contribuir para a melhoria contínua das práticas de desenvolvimento.
• Monitorar e solucionar incidentes relacionados a dados e pipelines.

Informações Adicionais
Tipo de trabalho
: CLT (Trabalho em Tempo Integral), Horário flexível.

Pacote de benefícios
: Vale-transporte, vale-refeição, auxílio-creche, seguro de vida, auxílio-funeral, seguro médico e odontológico.

Carreira
: Trabalho global em clientes e/ou projetos nacionais e internacionais, com possibilidade de transferência internacional de carreira.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Data Analytics Engineer
Location: São Paulo (4 days on-site, 1 day remote)
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Headquartered in London, we have more than 1,000 staff covering over 50 nationalities (and counting!) working across more than 27 offices worldwide and serving more than 45,000 clients every day.

About Our Team
Ebury’s strategic growth plan would not be possible without our Data team and we are seeking a Analytics Engineer to join our Analytics Engineering team!

Our Data Mission Is To Develop And Maintain Ebury’s Data Platform And Serve It To The Whole Company, Where Data Scientists, Data Engineers, Analytics Engineers And Data Analysts Work Collaboratively To

• Build ETLs and data pipelines to serve data in our platform
• Provide clean, transformed data ready for analysis and used by our BI tool
• Develop department and project-specific data models and serve these to teams across the company to drive decision-making
• Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
• Collaborate with stakeholders to understand the requirements, advising on and influencing the solutions, and taking ownership of data implementation and delivery

About Our Technology And Data Stack

• Google Cloud Platform as our main Cloud provider
• Apache Airflow as orchestration tool
• Cloud Build as CICD
• dbt as data modelling and warehousing
• Looker and Looker Studio as Business Intelligence/dashboarding
• Github as code management tool
• Jira as project management tool
• Among others third party tools such as: Hevodata, Synq…

About The Role
As an Analytics Engineer, you will be an integral part of our data team. You will work closely with the rest of the team to help model and maintain the Data Platform.

This role also encompasses important responsibilities in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards.

As part of the team you will

• Gather requirements from the business and define an action plan to execute them.
• Work on projects end to end, from definition to delivery.
• Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
• Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
• Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer)
• Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
• Contribute to and promote best practices for query development, version control, code review, documentation, and testing.

What we’re looking for

• 2+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
• Proficiency in SQL
• Mid - Level experience with Python
• Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Looker
• Familiarity with dimensional modelling/data warehousing concepts
• Experience with software engineering practices in data
• Attention to detail and commitment to data quality
• Advanced in English (Spanish, a plus)

About Us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact
You will lead technical teams, architect data platforms, and build scalable pipelines while mentoring colleagues and collaborating with clients at all levels. You’ll tackle impactful challenges, contribute to R&D, and grow as a leader by working with diverse experts on cutting-edge AI projects across industries.

You will lead multiple technical teams and own the technology stack for enterprise data and AI platforms. You’ll design and build robust, scalable, and reproducible data pipelines for machine learning while ensuring information security standards are upheld. Additionally, you’ll mentor junior colleagues, contribute to R&D projects, and drive innovation within the QuantumBlack Studio Data Engineering community.

Your work will address real-world challenges across industries. Partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help create innovative machine learning systems that accelerate AI adoption and solve business problems at speed and scale, enabling clients to achieve meaningful and lasting impact.

You will be based in São Paulo as part of our global Data Engineering community. You’ll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Collaborating with clients from data owners to C-level executives, you’ll help architect impactful solutions that solve complex business problems and drive value.

You will be in an exceptional environment to grow as a technologist and leader. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges. Surrounded by inspiring, multidisciplinary teams, you’ll gain a holistic understanding of AI while collaborating with some of the best design, technical, and business talent in the world.

Your Qualifications and Skills

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• 8+ years relevant professional experience
• Ability to scope projects, define workstreams, and translate roadmaps into sprint goals, milestones, and deliverables within agile and iterative team environments
• Proven experience architecting and building enterprise data and AI platforms as well as scalable data pipelines for advanced analytics use cases operating in production
• Passion for and track record of effectively leading and mentoring more junior colleagues
• Expertise in implementing software engineering best practices to drive enterprise-wide improvement, including DevOps, DataOps, and MLOps
• Strong software engineering and data engineering expertise, including distributed computing frameworks (e.g., Spark, Dask), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), analytics libraries (e.g., pandas, NumPy, matplotlib), and modern data platforms and orchestration tools such as Databricks, Airflow, SQL, PySpark, Kedro, and RAPIDS
• Ability to write clean, maintainable, scalable, and robust code in object-oriented languages such as Python, Scala, or Java, and experience supporting the development of junior engineers through collaborative code reviews
• Extensive commercial client-facing or senior stakeholder management experience
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
• Willingness to travel
• Strong communication skills, both verbal and written, in English and Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels