About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We are looking for a Fraud Data Analyst to work directly with our customers on our Merchant Health Team. You will be part of a growing analytics team that is responsible for Riskified’s customers’ performance and online fraud prevention using quick problem-solving skills in real time. You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified’s work. You’ll leverage your data analysis skills and knowledge of our product to provide meaningful insights directly to our customers.

What You'll Be Doing

• Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
• Master the online fraud prevention domain through hands-on analysis of live data
• Define and execute end-to-end technical solutions for fraud-prevention problems
• Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
• Work with account managers, meet directly with clients, and deliver analytical insights to business questions
• Collaborate with various teams within Riskified to enhance processes and meet customers’ needs

Qualifications

• Fluent (written and verbal) in English and Portuguese required
• 1-2+ years in fraud analytics
• 1-2+ years of relevant strong analytical experience with complex data
• 1-2+ years of hands-on work experience with SQL (must be proficient)
• 1-2+ years of hands-on work experience with R / Python (must be proficient)
• Experienced problem solver and critical thinker
• Ability to work simultaneously on different tasks and lead multiple projects

*The position requires occasional evening and weekend shifts (schedule is flexible) as we support a global client base

*Please submit your CV/Resume in English

In the News

Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut

Fortune Magazine: Riskified named Best Workplaces in New York for 2022

The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the team

Portfolio Solutions is the team within Nu Asset Management responsible for the firm's ETFs and systematic fundos, and the allocation models behind our products and the broader Nubank ecosystem. We believe most of an investor's long-term return comes down to three things: cost, allocation, and discipline. Our job is to deliver all three at scale — which means we treat infrastructure, automation, and AI tooling as core to investment research, not as side projects.

We're looking for a quantitative analyst to strengthen our research, index construction, allocation modeling, and the platform that ties it all together.

What you'll do

• Research, design, and implement indices and systematic strategies across fixed income, equities, and derivatives — including structures such as covered calls, duration barbells, and factor portfolios
• Build and maintain multi-asset allocation models, with attention to efficient replication, tracking error control, and transaction costs
• Run rigorous backtests: no look-ahead, no survivorship, realistic costs. We don't publish a curve without out-of-sample replication
• Help build the quantitative infrastructure of the team: reusable data pipelines, backtest frameworks, monitoring dashboards, and reporting workflows on Databricks. The goal is that every model you build outlives the project it was born in
• Develop AI-powered tools for investment research: LLM-driven analysts on top of our internal datasets, agents for routine analytical tasks, copilots that compress the distance between question and answer for the whole team
• Support the launch of new ETFs — from index methodology to interactions with index prodviders, market makers, administrators, and custodians
• Read papers, replicate results, and tell apart what works from what looks like it works

What we're looking for

• Bachelor's degree in a quantitative field: engineering, math, physics, statistics, economics, computer science, quantitative finance, or equivalent
• 3+ years in quantitative research, systematic asset management, risk, or adjacent roles 
• Strong Python (pandas, numpy, scipy). Comfort writing code that other people will read, run, and extend
• Curiosity about — and ideally experience with — building production-grade analytical infrastructure: pipelines, jobs, dashboards, internal tools
• Genuine interest in applying LLMs and AI agents to quantitative work, not just as users but as builders
• Familiarity with the Brazilian market: NTN-B, IMA, Ibovespa, B3 derivatives, local ETF dynamics
• A collaborative, constructive way of working: you ask for help when stuck, you offer help when others are, you document, you review code, you disagree clearly without making it personal, and you give credit generously
• Ability to communicate quantitative results clearly — to portfolio managers, commercial teams, and ultimately to the end investor

Nice to have

• CFA, CAIA, FRM, or a graduate degree in a quantitative field
• Experience with ETFs, index replication, or benchmark construction
• Hands-on Databricks (Workflows, Delta, Unity Catalog, Databricks Apps), version control discipline, MLOps fundamentals
• Experience designing or shipping internal tools, copilots, or RAG systems

Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Business Analyst - Pricing

As a Business Analyst - Pricing in the Global Payments Pricing team, you'll be central to Adyen's financial performance in global card payments. You'll be our product team's expert on interchange and scheme fee charges for cards in LATAM, ensuring the accuracy of fee passthrough to customers. You'll build insights to foster a comprehensive understanding of the complex fee network, supporting Adyen's commitment to fee transparency. By analysing large datasets on Adyen's big data platform, you'll uncover new financial optimisation opportunities. Our Global Cards team works closely with global teams, including Product, Finance, and Partnerships.

What you'll do:

• Ensure merchants are charged the most optimal and accurate cost price for transactions.
• Analyse: Identify the necessary data to address questions, extract the required data, and perform analysis.
• Optimise: Build and refine technical pricing rule-based models, devising methods to detect anomalies and monitor them.
• Improve: Suggest and develop processing improvements for core payment processes leveraging AI.
• Configuration: Implement fee change rollouts to maintain our cost infrastructure and manage the merchant experience.

Who you are:

• You have relevant experience in analysing data and automating complex data handling using SQL or Python;
• Academically trained, preferably in a quantitative or technical field such as Econometrics, Statistics, or Engineering;
• Detail-oriented, aiming to deliver high-quality work;
• Possess technical aptitude to address problems with data;
• Skilled in data visualisation tools such as Looker and Tableau;
• Excellent at analysing and communicating complex data or technical functionality with commercial teams and Adyen's merchants;
• Comfortable in a fast-paced environment requiring excellent time management and the ability to multitask and prioritise effectively;
• Full professional proficiency in English.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based in our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. 

About the Team

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

About the Team

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).

At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.

Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

About the Team

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

About the Team

Are you a dynamic and driven Accounting and Data professional ready to elevate your career? We have an exciting opportunity for a proactive and self-motivated individual with a strong command of US GAAP, revenue systems, and core data skills to join our growing Accounting team. This role offers the chance to showcase your expertise by collaborating with all levels of management and cross-functional teams, both internally and externally.

About the Role

In this role, you'll be at the forefront of cross-team collaboration, serving as the go-to expert for accounting partners in the data engineering and engineering spaces, creating a dynamic blend of responsibilities. Your days will be filled with reviewing data using SQL and Python, conducting in-depth data analysis and investigation, designing intricate drawings and flows, and contributing to groundbreaking accounting research and design requirements.

Join us in this opportunity to not only apply your existing skills but also to cultivate new ones in a role that combines the best of both data engineering and accounting realms. Make your mark in a stimulating and remote-friendly environment where your expertise will be valued and your career can thrive.

You’re excited about this opportunity because you will…

• Work cross functionally with Technical Accounting, Operational Accounting, Engineering, Product, Finance, Tax, Legal, and various business owners on policies, processes, and programs, and help drive key system initiatives and improvements
• Develop and design comprehensive accounting data requirements to facilitate the seamless automation of journal entries, ensuring accuracy, completeness, compliance, and efficiency in financial processes
• Lead operational improvement initiatives to further streamline revenue tasks and shorten the revenue close calendar
• Monitor data quality of journal entries configured via the Revenue Subledger and design Data Quality checks for identified use cases via accounting requirements design, ad hoc investigations, new product launches, etc. 
• Work with the Product and Engineering teams to continuously improve our daily Revenue Reconciliation process and manage reconciliation analysis with the help of the analytics team
• Review new product designs showcased during internal Financial Compliance Review meetings and assess impact on existing or need for new accounting requirements for the Revenue Subledger
• Cross collaborate with partnering teams on the journal entry flows for the new or existing products for automation via the Revenue Subledger
• Perform monthly revenue accounting close responsibilities, including but not limited to: GAAP revenue analysis, cost of revenue analysis, accounts receivable reconciliations, review journal entries, and review close package deliverables
• Ad hoc analyses and projects as assigned 

We’re excited about you because…

• You have a Bachelor’s degree in Finance, Accounting, Computer Science, Data Science, or related field
• 3+ years of  experience in revenue accounting, data analytics, and/or business intelligence
• Strong knowledge of US GAAP, ASC 606 Revenue Recognition required; knowledge of IFRS a plus
• Intermediate/advanced SQL skills and ability to work with large volumes of transactional data, Python a plus
• Strong analytical and problem solving skills and ability to adapt to changing work environments 
• Ability to interact with all levels of management and cross-functional teams, both internally and externally

About the Team

The Analytics team is looking for experienced Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

About the Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

We're excited about you because you have…

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Are able to work in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).

At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.

Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About you

We are looking for someone who is a whizz with Python, has experience with microservices, and is happy to get stuck into a gritty, fast-paced environment to work within our awesome Python team, championing and leading the build of secure, robust, and high-performance systems. 

The Opportunity

Our Python team builds highly available, low-latency microservices from scratch using the latest bleeding-edge technologies.

You will own and develop multiple services across our revenue domain billing, tax calculation, customer commitment management, and AI-powered revenue operations agents. You'll have the opportunity to make a huge impact on our growing company by solving complex problems as we scale. You'll be part of a group of people working together to build solutions to mission-critical problems and a company that values the very best ideas. People rely on our products to communicate daily, which means they rely on us to build things with a high degree of resiliency and reliability.

• Design developer/agent-friendly APIs.
• Build, test, and deploy applications to deliver critical global communications services.
• Identify and resolve issues related to latency, scalability, and performance.
• Create tools and AI agents to automate revenue operations.
• Investigate and resolve production issues by tracing through logs, data, and code to find root causes.
  
  

Who we're looking for

• 5+ years of professional software development experience with an object-oriented programming language
• Experience with web application development using Python (FastAPI, aiohttp, or similar).
• Experience designing and building RESTful APIs.
• Experience working with asynchronous programming
• Comfort working with PostgreSQL and relational databases at scale, including schema migrations, raw SQL queries and query optimization.
• Experience with event-driven architectures and message brokers (RabbitMQ, Kafka or similar).
• Experience in a highly available, uptime-critical production environment.
• Deep knowledge of microservice architecture patterns and anti-patterns
• Familiarity with Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
• Strong troubleshooting skills — you can dig through logs, query databases, trace distributed systems, and read unfamiliar code to get to the bottom of an issue.
• Comfortable owning services in production, including on-call responsibilities and incident resolution.
• Comfortable using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.

Bonus Points For

• Experience with billing, tax, or financial systems.
• Telecom domain knowledge
• Experience with SQLAlchemy and Alembic.
• You take a thoughtful approach to decision making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns, and enjoy sharing what you've learned.
• Familiarity with agent communication protocols (MCP, A2A).
• Experience building AI agents or LLM-powered applications.

#LI-KG1

#LI-BRAZIL

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools
• Fluent in written and spoken Portuguese and English

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Incident and Escalation Management team (IEM) is part of Datadog's Global Support Engineering (GSE) organization. The purpose of IEM is to continuously improve Datadog's overall customer experience during incidents and critical moments. Datadog Global Support Engineering (GSE) is looking for experts with a background in Incident Management and Escalations handling to join our team to provide fast incident response and stakeholder ownership. In this position, you will play a role in providing communication, technical engagement and incident management for our global customers. You will also implement processes based on the lessons learned from each incident to limit further occurrence.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Drive the resolution of incidents and escalations while providing response and/or management to customers
• Design and implement real-time and proactive monitoring of customer's infrastructures
• Prioritize, manage, and own customer issues from start to finish
• Monitor and manage communications (sometimes public, sensitive and large scale) during incidents
• Collaborate with stakeholders across Datadog and its partners worldwide to enhance customer experience 
• Lead projects to deliver operational improvements as Datadog evolves
• Create and review documentation as well as incident and escalation training
• Identify and troubleshoot recurring cloud infrastructure issues
• Hire and mentor stakeholders and peers in incident and escalation management 

Who You Are:

• 3+ years demonstrable Incident Manager experience (escalations is a plus)
• 1+ year of experience in Support, Network, Solutions Architecture, or similar IT role
• Bachelor’s degree in Computer Science, Information Science/Technology, Engineering or equivalent experience
• Familiarity with Cloud computing, experience with Python, JavaScript or shell scripting
• Ability to correlate behaviors based on known interdependencies 
• Experience driving projects from conception to delivery, demonstrated problem-solving experience, and ability to work in challenging fast-paced environments

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
  
  

Who You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
• Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills
• Desired hands-on experience in two or more of the following areas:
• Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
• Public Cloud: AWS, Azure, GCP, or Alibaba
• Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
• Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
• Config Mgmt: Terraform, Ansible, Puppet, Chef
• CI / CD: Jenkins, Gitlab
• Bonus Points:
• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
• Previous experience using Datadog and/or other cloud monitoring tools (APM, 
• Infrastructure, Logs, Synthetics, NPM)
• Previous experience with root-cause-analysis, troubleshooting, debugging

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos em busca de um(a) Data Engineer com sólida experiência em projetos de migração de dados, plataformas modernas de dados e arquiteturas em nuvem. O profissional será responsável por atuar na modernização de ambientes, com foco em soluções baseadas em Databricks e Microsoft Azure.

Responsabilidades

• Projetar, desenvolver e manter pipelines de dados escaláveis (batch e streaming).
• Atuar em projetos de migração de dados (on-premises para cloud, modernização de plataformas, etc.).
• Desenvolver e otimizar soluções utilizando Databricks.
• Construir processos de ETL/ELT seguindo boas práticas de engenharia de dados.
• Trabalhar em conjunto com times técnicos e de negócio para levantamento de requisitos.
• Garantir qualidade, governança e segurança dos dados.
• Monitorar, otimizar performance e custo das soluções em nuvem.
• Investigar e resolver problemas em pipelines de dados em produção.
• Documentar arquiteturas, processos técnicos e estratégias de migração.

Requisitos

• Formação superior em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas correlatas.
• Experiência anterior como Data Engineer.
• Experiência em migração de dados (ambientes legados para cloud ou entre plataformas).
• Experiência prática com Databricks.
• Conhecimento em Microsoft Azure, incluindo: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics e Azure SQL.
• Domínio de SQL e modelagem de dados.
• Experiência com Python ou Scala.
• Conhecimento em Delta Lake e arquitetura Lakehouse.

Diferenciais

• Certificação em Databricks.
• Experiência com CI/CD para pipelines de dados.
• Conhecimento em Infraestrutura como Código (Terraform, ARM).
• Experiência com otimização de performance em Spark.
• Conhecimento em governança de dados.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-BR1

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos buscando um(a) Data Business Analyst para atuar como ponte entre as áreas de negócio e o time de dados, transformando dados em insights estratégicos que apoiem a tomada de decisão. Essa pessoa será responsável por entender as necessidades do negócio, analisar dados e comunicar resultados de forma clara e acionável.

Responsabilidades

• Levantar e traduzir requisitos de negócio em análises e métricas de dados
• Analisar grandes volumes de dados para identificar tendências, oportunidades e riscos
• Criar, manter e evoluir dashboards e relatórios gerenciais
• Trabalhar em conjunto com Data Engineers, Data Scientists e stakeholders de negócio
• Definir e acompanhar KPIs e métricas de performanceApoiar a tomada de decisão por meio de análises exploratórias e estudos ad hoc
• Garantir a qualidade, consistência e confiabilidade dos dados utilizados nas análises
• Documentar requisitos, métricas e definições de negócio
• Apresentar insights e recomendações de forma clara para públicos técnicos e não técnicos

Requisitos

• Formação em Administração, Economia, Engenharia, Estatística, Sistemas de Informação ou áreas correlatas
• Experiência com análise de dados voltada para negócio
• Domínio de SQL
• Experiência com ferramentas de visualização de dados (Power BI, Tableau, Looker, etc.).
• Conhecimento em modelagem de dados analíticos
• Capacidade de interpretar dados e traduzi-los em insights de negócio
• Boa comunicação e habilidade para apresentação de resultados

Diferenciais

• Experiência com cloud (GCP, Azure ou AWS)
• Conhecimento em Python ou R para análises
• Experiência com ferramentas de BI em cloud (Looker, Power BI Service, etc.)
• Conhecimento em métricas financeiras, operacionais ou de produto
• Experiência com metodologias ágeis (Scrum, Kanban).
• Forte pensamento analítico e crítico.
• Capacidade de trabalhar com múltiplos stakeholders.
• Organização e atenção aos detalhes.
• Proatividade e foco em solução.
• Facilidade para explicar dados de forma simples e objetiva.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-BR1

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the Role

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

Key Responsibilities

• Enterprise Automation & Platform Engineering:
  • Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
  • Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
• AI & "Vibe Coding" Governance:
  • Drive the technical strategy for AI adoption within engineering workflows.
  • Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
  • Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Internal Tooling Standards:
  • Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
  • Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Cross-Functional Technical Leadership:
  • Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

What are we looking for?

Technical Skills

• Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

• Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).

• Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

• AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).

• Advanced English

Behavioral & Strategic Skills

• Governance-Aware: You understand that "efficiency" must be balanced with "security." You can design systems that are safe by default without destroying developer velocity.
• Problem Solver: You are comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
• Multiplier: You enjoy documenting your work, creating "Golden Paths" for other engineers, and teaching others how to use the tools you build.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

No seu dia a dia:

• Apoiar a simulação de matrizes de decisão (What-If). Exemplo prático: Ajudar a calcular se uma redução de 0.10pp na taxa para clientes com 40% de entrada gera volume suficiente para diluir o custo de Funding e PCLD, mantendo o ROA alvo.
  
• Interface com Data Science: Trabalhar em parceria com o time de modelagem. Você ajudará a levantar hipóteses de negócio (ex: sazonalidade de concessionárias, ações da concorrência) para refinar os modelos e apoiará no backtesting das conversões.
  
• Monitoramento de Testes A/B: Acompanhar a execução e a mensuração de testes controlados de taxas, ajudando a isolar o impacto do preço de outros fatores de mercado.
  
• Análise de Dados de Portfólio: Extrair e analisar dados de esteira de crédito, cruzando a conversão de propostas com os drivers do CDC tradicional (Rating/PD do cliente vs. Prazo vs. Down Payment).

Esperamos de você:

• Ensino Superior Completo em Estatística, Matemática Aplicada, Economia, Engenharia, Administração ou áreas correlatas.
  
• Domínio de SQL para extração de dados, cruzamentos e análises analíticas do portfólio.
  
• Raciocínio lógico afiado e capacidade de traduzir números em impactos diretos no negócio (evitando a armadilha do "volume pelo volume").

Desejável:

• Conhecimento básico/intermediário em Python ou R para automação de análises e manipulação de dados (ex: Pandas). Você não fará os modelos do zero, mas precisará rodar scripts e consumir os dados.
• "Alfabetização" em Ciência de Dados (noções básicas de Testes de Hipótese, P-valor e Testes A/B) para dialogar com fluidez com nossos Cientistas de Dados.
• Noções da matemática de produtos de crédito (Spread, NIM, Cost of Risk/PD, LGD e ROA) e matemática financeira.

Benefícios:

• Participação nos Lucros e Resultados (PLR);
• Auxílio Alimentação e Refeição;
• Plano Médico;
• Plano Odontológico;
• Auxílio Creche/Babá;
• Vale Transporte;
• WellHub;
• TotalPass;
• Programa de Apoio Pessoal (EAP);
• Planos por adesão como Previdência Privada e Seguro de Vida;
• Desconto em Farmácia;
• Programa de Nutrição;
• Programa de Gestantes;
• Licença Maternidade e Paternidade Estendida – empresa Cidadã

No seu dia a dia:

• Atuar no controle financeiro e contábil da área de Recuperação de Crédito, garantindo qualidade nas entregas mensais;
• Realizar conciliações, controles de contratos, rateios, centros de custo e validação de notas fiscais;
• Apoiar o fechamento contábil e financeiro, acompanhando orçamento e desvios;
• Gerenciar interface com parceiros externos (assessorias de cobrança jurídicas e administrativas);
• Apoiar a apuração de comissões e a meritocracia das assessorias;
• Participar da construção e melhoria de processos, com foco em automação e redução de atividades manuais;
• Trabalhar em um ambiente dinâmico, com múltiplas demandas simultâneas e mudanças frequentes de prioridade;
• Atuar de forma integrada com áreas internas como Contábil, Finanças, Tecnologia e Produtos.

Esperamos de você:

• Ensino superior completo ou em andamento em Administração, Contabilidade ou áreas correlatas;
• Excel bem utilizado no dia a dia (controles, análises, conciliações);
• Noções básicas de contabilidade e matemática financeira (débito, crédito, conciliações);
• Conhecimento básico de SQL (capacidade de realizar consultas simples);
• Organização, atenção a detalhes e bom raciocínio lógico;
• Boa comunicação verbal e escrita para interação com parceiros e áreas internas;
• Perfil proativo, colaborativo e adaptável a mudanças;
• Capacidade de lidar com atividades operacionais com impacto financeiro relevante.

Diferenciais:

• Vivência em áreas financeiras, recuperação de crédito ou assessorias de cobrança;
• Conhecimento em Python para automação de rotinas;
• Experiência com sistemas financeiros ou ambientes em migração sistêmica.

Benefícios:

• Participação nos Lucros e Resultados (PLR);
• Auxílio Alimentação e Refeição;
• Plano Médico;
• Plano Odontológico;
• Auxílio Creche/Babá;
• Vale Transporte;
• WellHub;
• TotalPass;
• Programa de Apoio Pessoal (EAP);
• Planos por adesão como Previdência Privada e Seguro de Vida;
• Desconto em Farmácia;
• Programa de Nutrição;
• Programa de Gestantes;
• Licença Maternidade e Paternidade Estendida – empresa Cidadã

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Partner Solutions Engineer

Adyen is looking for a Partner Solutions Engineer with a hands-on track record of working with technologies like APIs and front end development. You can plan and execute complex system integration projects, and your mastery of our technologies enables you to build and maintain deep technical relationships with our most important strategic partners. This role focuses on ensuring our partners can successfully leverage the full potential of the Adyen platform for their customers through expert technical guidance and problem solving, product roadmap alignment, and architectural recommendations.

As a Partner Solutions Engineer, you will be a subject matter expert in Adyen’s product offerings down to the API level, enabling you to serve as the primary long-term technical counterpart for our partners' engineering and product management teams. Your goal is to ensure partners architect and implement solutions that deliver the best of Adyen, driving mutual success and innovation. This position requires a blend of technical expertise, strategic thinking, and strong stakeholder management skills to influence both partner implementations and Adyen's internal product development.

This role is critical in ensuring Adyen's platform is scalably supportable by our partners and that partner feedback effectively shapes our product evolution. The ideal candidate possesses a strong technical foundation, excellent communication skills, and the ability to build lasting, influential relationships internally and with partners.

What you'll do:

• Utilize software development and programming expertise to help partners create robust, scalable solutions that deliver Adyen’s products to their customers quickly and at high quality.
• Act as the long-term, trusted technical contact for partners' engineering and product teams,  guiding them on Adyen's platform capabilities and integration best practices.
• Provide ongoing support for technical inquiries, hands-on assistance during the implementation process, and lead troubleshooting efforts to ensure the timely delivery of solutions.
• Develop a comprehensive understanding of both Adyen's and key partners' product roadmaps. Provide strategic architectural recommendations to ensure partners optimally integrate Adyen's solutions, maximizing value for their end-customers.
• Collaborate with internal Product and Engineering stakeholders, advocating for partner needs and influencing Adyen’s roadmap to enhance scalability and supportability for the Adyen product offering.

Who you are:

• Proficiency in one or more programming or scripting languages (e.g., Python, Java, JavaScript, SQL).
• 8+ years experience integrating and/or providing technical consultation when integrating with Web APIs or complex systems.
• Proficient in English and Spanish.
• Availability to work 3 days in person on Morumbi/SP.
• Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDKs, etc.), and a strong desire to continuously improve technical acumen.
• Excellent communication and presentation skills; comfortable leading technical discussions and building rapport with engineering leaders and product managers.
• Ability to establish and maintain strong, long-term technical relationships with partners.
• Ability to navigate ambiguity, manage technical stakeholders effectively, influence internal roadmaps, and make decisions by collaborating with the right people.
• Growth mindset with a bias toward action and strategic thinking.

This role is based out of our São Paulo. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

BUSINESS OPERATIONS MANAGER (STARLINK BRAZIL GROWTH)

The Business Operations Manager’s role is to improve Starlink’s key performance indicators (KPIs) at SpaceX, focused around omni-channel subscriber & revenue growth. The role combines data analytics with broader business planning, decision-making, strategy, and execution, directly supporting SpaceX’s leadership. Business Operations is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data, provide recommendations, and lead cross-functional decision-making and implementation.

RESPONSIBILITIES:

• Monitor, analyze, provide strategic insights, execute, and improve vs. key performance indicators for the business (especially active subscribers, churn, sales, production, inventory, produce-to-activate, net promotor score, customer lifetime value, cost per unit, revenue, cost of sales, operating expenses, and capital expenditure)
• Lead onboarding of new channels, providing tools, analysis and insights to guarantee better possible performance from commercial collaborations
• Analyze market pricing dynamics and provide leadership with insights on elasticity and performance to sustain tempestive decision processes
• Identify initiatives for improvement of SpaceX’s business outlook, including developing, tracking, and executing business initiatives with SpaceX’s leadership
• Facilitate modeling and decision-making for program development trades and program ramp/sunset plans, including managing forecasting for Brazil on supply / demand, working with closely growth, sales, design, engineering, operations, logistics, finance, tax, legal, etc.
• Enable and accelerate go to market execution for programs post licensing and certification
• Proactively grow subscriber base to achieve targeted levels and report progress

BASIC QUALIFICATIONS:

• Bachelor’s degree in engineering, business, mathematics, or economics
• 4+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• 3+ years of professional experience in Excel or programming

PREFERRED SKILLS AND EXPERIENCE:

• 6+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• Evidence of exceptional ability, especially within an ambiguous environment
• Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
• Ability to read and interpret income statements, balance sheets, and cash flow statements
• Demonstrated success driving tangible impact/influencing within a broader organization
• Excellent analytical skills (e.g. Python, SQL, Tableau, Power BI, Power Query, Microsoft Office applications, Excel modeling, or similar data manipulation tools etc.)
• Strong written and verbal communication skills, particularly with senior business leaders
• Extreme sense of urgency and ownership
• Bias toward action and automation
• Strong interpersonal skills (examples: leading a student organization or working successfully in teams)
• Strong analytical and problem-solving skills with attention to detail
• Ability to work cross-functionally with different groups and teams
• Ability to work effectively in a dynamic environment with changing needs and requirements
• Ability to work independently and in a team, take initiative, and communicate effectively

ADDITIONAL REQUIREMENTS:

• Must be available to work extended hours and weekends as needed
• Willingness to travel to customer sites, other SpaceX locations, and events as needed

SR. BUSINESS OPERATIONS MANAGER (STARLINK BRAZIL GROWTH)

The Sr. Business Operations Manager’s role is to improve Starlink’s key performance indicators (KPIs) at SpaceX, focused around omni-channel subscriber & revenue growth. The role combines data analytics with broader business planning, decision-making, strategy, and execution, directly supporting SpaceX’s leadership. Business Operations is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data, provide recommendations, and lead cross-functional decision-making and implementation.

RESPONSIBILITIES:

• Monitor, analyze, provide strategic insights, execute, and improve vs. key performance indicators for the business (especially active subscribers, churn, sales, production, inventory, produce-to-activate, net promotor score, customer lifetime value, cost per unit, revenue, cost of sales, operating expenses, and capital expenditure)
• Lead onboarding of new channels, providing tools, analysis and insights to guarantee better possible performance from commercial collaborations
• Analyze market pricing dynamics and provide leadership with insights on elasticity and performance to sustain tempestive decision processes
• Identify initiatives for improvement of SpaceX’s business outlook, including developing, tracking, and executing business initiatives with SpaceX’s leadership
• Facilitate modeling and decision-making for program development trades and program ramp/sunset plans, including managing forecasting for Brazil on supply / demand, working with closely growth, sales, design, engineering, operations, logistics, finance, tax, legal, etc.
• Enable and accelerate go to market execution for programs post licensing and certification
• Proactively grow subscriber base to achieve targeted levels and report progress

BASIC QUALIFICATIONS:

• Bachelor’s degree in engineering, business, mathematics, or economics
• 6+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• 4+ years of professional experience in Excel or programming

PREFERRED SKILLS AND EXPERIENCE:

• 10+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• Evidence of exceptional ability, especially within an ambiguous environment
• Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
• Ability to read and interpret income statements, balance sheets, and cash flow statements
• Demonstrated success driving tangible impact/influencing within a broader organization
• Excellent analytical skills (e.g. Python, SQL, Tableau, Power BI, Power Query, Microsoft Office applications, Excel modeling, or similar data manipulation tools etc.)
• Strong written and verbal communication skills, particularly with senior business leaders
• Extreme sense of urgency and ownership
• Bias toward action and automation
• Strong interpersonal skills (examples: leading a student organization or working successfully in teams)
• Strong analytical and problem-solving skills with attention to detail
• Ability to work cross-functionally with different groups and teams
• Ability to work effectively in a dynamic environment with changing needs and requirements
• Ability to work independently and in a team, take initiative, and communicate effectively

ADDITIONAL REQUIREMENTS:

• Must be available to work extended hours and weekends as needed
• Willingness to travel to customer sites, other SpaceX locations, and events as needed

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Analyst 

We are seeking an experienced Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paul o(3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

**Internally the role being called Optimization Data Analyst 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

About us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

Data Science at Nubank

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. Data Scientists are responsible for translating business needs into models and other types of data-driven solutions.

As a Data Scientist, you’re expected to

• Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
• Investigate problems and discover insights through exploratory data analysis and other quantitative methods;
• Have great numerical and analytical literacy, including knowledge of statistics and linear algebra as needed;
• Work on multiple stages of the ML model lifecycle–from ideation to training and steady-state operation;
• Work across multiple types of models, algorithms and learning paradigms;
• Communicate technical points, decisions and tradeoffs to peers and stakeholders;
  
  

Our ideal candidate

• Has experience working with ML models in a production environment;
• Understands possible pitfalls and tradeoffs when applying ML to real-word, sometimes messy problems;
• Is familiar with the technical aspects of learning theory and algorithms and is able to discuss details if needed;
• Has experience working with the Python scientific stack (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Libraries, etc);
• Has experience working with Tensor/Deep Learning libraries such as Tensorflow and Pytorch;
• Is able to connect analytical outcomes to business priorities and advise stakeholders on the best course of action;
• Has good communication skills and is able to convey technical topics and decision points to diverse audiences;
• Has experience writing general-purpose code using modern tools;
• Understands the implications of causality when applying ML to problems;
• Is up-to-date with recent developments in the area as a whole and is able to identify opportunities for improvement and innovation;
  
  

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
  
  

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Role Summary

Location: Sao Paulo, Brazil

Hybrid

Full-time

Payoneer is looking for a RevOps Lead to build and operate the targeting and data workflows that power our outbound engine. This role directly impacts pipeline and revenue by ensuring our sales teams target the right companies, with high-quality data and scalable workflows.

You don’t need to be an engineer, but you should be comfortable working with systems and tools, AI prompting, data, integrations, and automations.

What you'll do:

• Build and maintain outbound targeting logic and high-intent ICP lists using AI tools and a modern data stack (e.g., Clay)
• Analyze accounts and validate ICP fit using structured data and AI workflows
• Ensure outbound data quality by monitoring enrichment sources, fixing gaps, and improving coverage
• Ingest and structure data from registries, data providers, and partners
• Design and improve automations and workflows across Clay, CRM, and sales tools to reduce manual work and increase sales rep productivity
• Upload, deduplicate, and route leads in Salesforce and outbound tools
• Translate sales strategy into data fields and signals that enable personalization at scale
• Own CRM logic and hygiene for outbound processes
• Track performance, identify drivers of pipeline, and continuously improve targeting and outreach inputs

Who you are:

• 3+ years of experience in RevOps, Sales Ops, GTM Ops, or a similar analytical role
• Working knowledge of JavaScript or Python, with the ability to pull data from APIs (authentication, pagination, JSON handling), and ability to scrape websites into structured datasets.
• Experience with Salesforce & Excel.
• Experience supporting outbound sales or lead generation programs.
• Analytical, technically curious, systems thinker who enjoys automations and process improvement

What could set you apart (nice to have):

• Working knowledge of PowerBI
• Working knowledge of SQL
• Experience with Clay
• Experience working with outbound sales tools and enrichment platforms
• Experience working with APIs, no-code automation tools, or data integrations

#LI-AB4

#LI-Hybrid

What you’ll do: 

• Develop safety critical software components for Archer’s flight control system.
• Participate in planning, design, scheduling, prioritizing, and tracking the project.
• Work with system engineers to decompose item requirements into high level and low level software requirements in compliance with DO-178C.
• Work with a multi-disciplinary team to develop and integrate the complex hardware/software flight control system.
• Development of software plans, processes & guidelines
• Software requirements decomposition, analysis, definition, and traceability
• Software design and development, performance, risk, safety, operation and cost optimization trade studies, and lead / conduct design reviews
• Software analyses, requirements-based testing, and structural coverage analysis
• Contribute to the continuous improvement of our processes to increase safety and efficiency
• Archer Brazil is based in Sao Paulo, but this role is remote friendly anywhere in Brazil

What you need:

• 5+ years of experience in a flight control software or a related field
• Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or related degree
• Proficiency with C/C++
• Experience with MATLAB/Simulink
• Fluency with widely used scripting languages like bash and Python 
• Experience developing software complying with safety standards like DO-178C or ISO 26262 to high criticality levels (DAL-A/B)
• Understanding of communication standards and protocols (RS-422/485, CAN, ARINC-429, AFDX, Ethernet, TCP/IP, etc…)
• Familiarity with debuggers and lab instruments such oscilloscopes and bus analyzers
• Experience with Model Based Software development and certification (DO-331) 
• Excellent organizational and communication skills Bonus qualifications
• Experience with VHDL and/or Verilog development
• Familiarity with modeling tools like UML or SysML
• Knowledge of Real Time Operating Systems (RTOS) and multi-threading
• Experience in Linux
• Experience with DO-254 
• Experience with tools qualification (DO-330)

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy.

About the Team: Our Technical Support Engineering team is the backbone of our customer success, providing expert assistance and driving efficient solutions to complex technical challenges. We're a collaborative group of problem-solvers, passionate about delivering exceptional support and fostering strong relationships with our customers. Working within a global environment, we value teamwork, innovation, and a commitment to continuous improvement.

Responsibilities:

• Work as the primary point of contact for all tickets in your name
• Act as an escalation point for the Technical Support and Technical Account Management team
• Analyze and troubleshoot incidents with a one-touch resolution mindset
• Interpret customer questions on product usage and provide detailed and timely answers
• Write detailed and thorough escalation notes for sending tickets to senior engineering teams
• Perform routine follow-ups and ticket management via email and the case management system
• Write and maintain the internal and external knowledge bases
• Communicate with customers and internal parties about existing tickets and identify common patterns
• Provide feedback to management about improvements to processes and procedures

Minimum Qualifications:

• 3+ years of professional experience in a Technical Support role within software and/or technology.
• Exceptional communication skills, both written and verbal, with the ability to clearly convey complex technical concepts to diverse audiences (technical and non-technical, internal and external) in a business-to-business setting.
• Proven experience in in-depth software troubleshooting, demonstrating a customer-centric approach, a strong sense of ownership, and the ability to maintain a positive and collaborative attitude within a global technical support environment
• Ability to create and maintain comprehensive technical documentation, including knowledge-base articles, how-to guides, and troubleshooting guides.
• Understanding of networking fundamentals, including TCP/IP, routing, subnets, firewall rules, and proxy connectivity, coupled with the ability to utilize system-level tools for network troubleshooting and validation of open ports.
• Experience with RESTful APIs, their usage, and how they are leveraged in corporate environments
• Experience of AI
• Proficient in navigating and performing basic tasks within a Linux Shell in a professional enterprise environment

Preferred Qualifications: 

• Experience reading or writing code with a strong preference for Python.
• Ability to effectively analyze application logs and data sets to extract relevant information for troubleshooting and resolving technical issues.
• Ability to build cURL commands and use them as a troubleshooting tool
• Experience with TLS and Certificate troubleshooting
• Basic understanding of and experience with SAML
• Experience with database platforms and ability to troubleshoot reading from databases
• Experience with the following platforms:
  • MongoDB
  • Docker
  • OpenVPN

#LI-MDI

#Remote

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

Business Analysts at Nubank

As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.

It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.

We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.

You can read more about it in our blog and get some insights into how we work.

As a Business Analyst, you’re expected to:

• Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;
• Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;
• Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;
• Understand our products and interactions with other areas;
• Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;
• Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

 What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;
• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);
• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;
• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;
• Willingness and ease of learning, especially for tools;
• Openness to receive feedback and incorporate it into your daily life and development;
• Adaptability to the multifunctional environment;
• Profiles that add value to Nubank's culture.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

You will deploy and maintain our edge data centers for compute, AI and storage, contribute to the installation, migration, updates and integration of hypervisor services and modules. Maintain and optimize active projects. Participate in the development process of new projects and document the architecture and components.

Responsibilities

• Design, deploy, and manage highly available, scalable, and secure infrastructure solutions which include: Kubernetes on bare metal, Proxmox and Ceph
• Design and maintain Kubernetes, Ceph and Proxmox platforms for engineering team consumption
• Ensure that hardware design meets business and technical requirements, including performance, scalability, and reliability
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of virtualization solutions
• Ensure the reliability, performance, and scalability of our edge data centers
• Troubleshoot and resolve complex infrastructure issues, ensuring optimal performance and reliability
• Develop and maintain infrastructure-as-code (IaC) modules and configuration management to automate deployment, management, and monitoring processes

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing Ansible roles and playbooks with idempotency.
• Proficiency in creating Terraform/Tofu modules.
• Strong GitOps mindset.
• In-depth knowledge of Linux networking
• Strong problem-solving and troubleshooting skills
• Familiarity with KVM/QEMU virtualization.
• Understanding of Ceph storage solutions.

Preferred:

• Experience with VXLAN, software-defined networking, and SR-IOV for smart NICs.
• Familiarity with the BGP protocol and configuring FRR or Bird.
• Experience with Terragrunt.
• Proficiency in using Ansible Tower or AWX.
• Proficiency in Python

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

• You will ensure new customers have an excellent experience by providing technical assistance early in their journey
• You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
• You will work directly with multiple customers concurrently to provide technical solutions.

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication, in English and Portuguese
• Bonus
  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
  • Databricks certification(s)

P-993

Mission 

As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform.  You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies.  You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members.  TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The impact you will have:

• Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads. 
• Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.   
• Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements. 
• Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.

What we look for: 

• Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments. 
• Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran). 
• 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases. 
• Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis. 
• Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
• Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
• Technical degree or the equivalent experience.

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos em busca de um(a) Machine Learning Engineer com foco em NLP e processamento de documentos para atuar no desenvolvimento de soluções inteligentes voltadas à automação e análise de dados, especialmente em contextos financeiros. O(a) profissional será responsável por construir pipelines de dados, desenvolver modelos de machine learning e implementar soluções escaláveis em ambiente cloud.

O que você fará:

• Desenvolver soluções de machine learning e NLP para extração e processamento de informações de documentos
• Trabalhar com OCR, parsing de PDFs e extração de dados de Excel
• Implementar algoritmos de fuzzy matching (ex: Levenshtein, record linkage)
• Construir e manter pipelines de dados e processos de ETL
• Desenvolver, treinar e validar modelos de machine learning (supervisionados e não supervisionados)
• Realizar deploy de modelos utilizando APIs REST, Docker e serviços Azure
• Integrar soluções com sistemas externos e aplicações corporativas
• Colaborar com times multidisciplinares para entrega de soluções escaláveis

O que você precisa ter:

• Forte experiência em Python (Pandas, NumPy, scikit-learn)
• Experiência com bibliotecas de NLP (spaCy, NLTK ou Transformers)
• Conhecimento em processamento de documentos (OCR, PDFs, Excel)
• Experiência com deploy de modelos (APIs REST, Docker, Azure ML)
• Entendimento de técnicas de machine learning supervisionado e não supervisionado
• Experiência com pipelines de dados e ETL
• 2 a 5 anos de experiência em Machine Learning, com foco em NLP ou dados financeiros
• Inglês avançado/fluente

Diferenciais

• Experiência no setor financeiro/fintech (reconciliação, contabilidade)
• Conhecimento em Azure Machine Learning e Cognitive Services
• Experiência com frameworks de deep learning (TensorFlow, PyTorch)
• Experiência com LLMs para entendimento de documentos (OpenAI, Azure OpenAI)

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

O projeto será focado na gestão de dados utilizando a plataforma Microsoft Purview.

É necessário um sólido entendimento do Fabric sob uma perspectiva analítica, além de experiência prática com Microsoft Purview.

Requisitos:

• Experiência profunda e prática na implementação e operação do Microsoft Purview em ambientes corporativos de dados
• Mais de 5 anos de experiência em engenharia de dados, engenharia analítica ou governança de dados
• Mais de 3 anos de experiência prática em produção implementando e configurando componentes do Microsoft Purview, incluindo Collections, Scanners, Catálogo de
• Metadados, Classificações, Glossário e Linhagem (não tenho certeza de quão realista é exigir mais de 3 anos de experiência com Purview)
• Diversas outras habilidades em Purview / API REST / Python / Azure/AWS / IA, etc.
• Inglês avançado/fluente 

.

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Como membro da equipe de Entrega de Tecnologia da Capco, você trará uma sólida base em ciência de dados aplicada, análise estatística e práticas ágeis de entrega. Como Cientista de Dados em IA Aplicada, você desempenhará um papel fundamental na transformação de dados complexos em insights acionáveis e soluções habilitadas por IA que apoiam resultados reais de negócio.

Você contribuirá ao longo de todo o ciclo de vida de analytics aplicado — desde análise exploratória e modelagem até validação e suporte em produção — trabalhando em estreita colaboração com engenheiros, equipes de produto e stakeholders. Seu trabalho ajudará a conectar técnicas analíticas avançadas com capacidades escaláveis e prontas para produção em projetos de alto impacto com clientes.

O que você fará:

• Realizar análises estatísticas, clusterização e modelagem probabilística para gerar insights e orientar soluções baseadas em IA
• Analisar dados estruturados em grafos para detectar anomalias, extrair padrões probabilísticos e apoiar inteligência baseada em grafos
• Construir pipelines de NLP com foco em NER (Reconhecimento de Entidades Nomeadas), resolução de entidades, extração de ontologias e scoring
• Contribuir para esforços de engenharia de IA/ML desenvolvendo, testando e implantando modelos e serviços orientados por dados
• Aplicar fundamentos de MLOps, incluindo rastreamento de experimentos, monitoramento de métricas e práticas de reprodutibilidade
• Colaborar com equipes multifuncionais para transformar análises em soluções prontas para produção
• Prototipar rapidamente, iterar com eficiência e ajudar a evoluir as melhores práticas de ciência de dados na equipe

O que você precisa ter:

• Experiência sólida em modelagem estatística, técnicas de clusterização e análise baseada em probabilidade
• Experiência prática com análise de dados em grafos, incluindo detecção de anomalias e extração de padrões de distribuição
• Fortes habilidades em NLP, com experiência em NER, extração de entidades/ontologias e métodos de avaliação relacionados
• Mentalidade voltada à engenharia, com capacidade de construir, implantar e otimizar soluções reais (não apenas teóricas)
• Conhecimento prático dos fundamentos de MLOps, incluindo rastreamento de experimentos e métricas de modelos
• Proficiência em Python e bibliotecas comuns de ciência de dados/IA
• Boa comunicação e capacidade de trabalhar de forma colaborativa em ambientes dinâmicos de IA aplicada
• Inglês avançado/fluente (será avaliado em entrevista) - Eliminatório.

.

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

SOBRE A CAPCO

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Responsável por realizar a monitoria operacional contínua das automações, robôs e fluxos de execução, garantindo a disponibilidade, execução correta das rotinas e registro de incidentes, atuando como primeiro nível de suporte em ambiente produtivo. Esta posição oferece a oportunidade de crescimento profissional, tornando-se um parceiro estratégico e visionário em soluções que molda a demanda e a direção da tecnologia no mundo empresarial.

Responsabilidades:

• Monitorar execuções de robôs e automações em ambiente produtivo
• Acompanhar logs, filas e agendamentos
• Identificar falhas, erros e interrupções de execução
• Realizar ações básicas de correção (restart, reprocessamento, rerun)
• Registrar incidentes em ferramenta de ITSM
• Acionar equipe técnica quando necessário
• Garantir cumprimento de SLAs operacionais
• Apoiar auditorias e controles operacionais
• Realizar validação de execução diária / noturna
• Executar rotinas de verificação em turnos definidos
• Atuar em regime de escala / plantão quando necessário

Requisitos:

• Ensino superior cursando ou completo em TI, Engenharia, Sistemas ou áreas correlatas
• Experiência em suporte ou monitoria de sistemas
• Conhecimento básico em automação / RPA / scripts
• Conhecimento em análise de logs
• Disponibilidade para atuar em forma remota período da tarde 14:00hs - 22:00hs

Tecnologias envolvidas

• Power Platform (Power Automate / Power Apps / Power BI)
• Automation Anywhere / RPA
• Python (execução / scripts)
• Ferramentas de monitoria
• ServiceNow / Jira / ITSM
• Windows / Linux básico

Diferenciais

• Experiência com RPA
• Experiência em ambiente bancário
• Experiência com Power Platform
• Experiência com Automation Anywhere
• Experiência em operação 24/7

Competências

• Atenção a detalhes
• Disciplina operacional
• Organização
• Responsabilidade
• Comunicação clara
• Trabalho em turno

POR QUE CAPCO:

Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

A WPP Media é o coletivo global de mídia da WPP. Em um mundo onde a mídia está em todo lugar e em tudo, reunimos as melhores plataformas, pessoas e parceiros para criar oportunidades ilimitadas de crescimento. Para mais informações, visite wppmedia.com.

Na WPP Media, acreditamos no poder da nossa cultura e das nossas pessoas. É isso que nos eleva a entregar experiências excepcionais tanto para nossos clientes quanto uns para os outros.

Descubra a EssenceMediacom: Uma agência focada em mídia inovadora que combina o melhor da ciência de dados, tecnologia e criatividade para impulsionar o crescimento de marcas líderes globais. Com uma abordagem centrada no ser humano e um compromisso com a excelência, a EssenceMediacom está redefinindo o futuro da mídia.

Descrição da Vaga

Estamos em busca de uma pessoa Analista de BI Sênior para integrar nosso time e atuar de forma estratégica na intersecção entre dados e mídia. Procuramos alguém com perfil híbrido, unindo sólido conhecimento técnico-analítico com profunda compreensão do ecossistema de publicidade digital. Você atuará com bastante autonomia, liderando a construção de soluções de dados, gerando insights de campanhas globais e sendo uma referência técnica e estratégica para a equipe e nossos clientes.

Responsabilidades e Atribuições: 

● Gestão de Dashboards: Liderar a criação, manutenção e evolução de dashboards e relatórios automatizados complexos (ex.: Looker Studio), garantindo visões executivas e operacionais para monitoramento de KPIs de mídia.
● Tratamento de Dados: Estruturar e liderar a extração, limpeza e cruzamento de dados de diversas plataformas (Google Ads, Meta Ads, etc.) via Adverity e Google BigQuery, garantindo a governança, consistência e confiabilidade dos números.
● Documentação: Definir, estruturar e manter a documentação das arquiteturas de dados, processos de coleta e regras de negócio utilizadas nas relatorias.
● Validação e Acurácia: Desenvolver e manter rotinas de auditoria avançadas para garantir que não haja divergências entre as plataformas de mídia e os relatórios entregues aos clientes.
● Colaboração e Estratégia: Atuar lado a lado com os times de mídia e clientes, não apenas entendendo as necessidades de mensuração, mas conduzindo apresentações de resultados, interpretando o desempenho e sugerindo otimizações acionáveis.
● Apoio à Equipe: Atuar como referência e mentor(a) técnico(a) para analistas juniores e plenos, apoiando na resolução de problemas complexos e elevando a régua analítica do time.

Requisitos e Qualificações (Hard Skills):

● Google Sheets / Excel Intermediário à Avançado: Domínio de manipulação de grandes bases de dados, integrações e funções complexas para análises ágeis de negócio.
● Linguagem SQL e BigQuery: Conhecimento intermediário (ou básico com alto potencial e rápida curva de aprendizado) para construção de consultas, manipulação de dados e cruzamento de tabelas diretamente no banco de dados.
● Forte Contexto de Mídia Digital: Sólida experiência com ferramentas de compra de mídia e profundo entendimento de métricas de Marketing Digital (CPM, CPC, Conversão, ROAS, Atribuição). Capacidade de conectar o comportamento da campanha com os dados.
● Ferramentas de Visualização: Forte experiência prática com ferramentas de Data Viz (Looker Studio preferencialmente, Power BI ou similares) voltadas para relatoria de performance.
● Raciocínio Lógico Estratégico: Capacidade de estruturar problemas não formatados, entender a lógica de "causa e efeito" em cenários multi canais e propor soluções baseadas em dados.
● Inglês Intermediário a Avançado: Capacidade de leitura técnica, escrita e segurança para participar de reuniões e apresentações (muitas ferramentas, documentações e clientes demandam o idioma).

Habilidades Comportamentais (Soft Skills):

● Autonomia e Visão Estratégica: Proatividade para buscar ativamente novas fontes de dados, melhorias de processo e não depender apenas de demandas estruturadas.
● Comunicação Sênior: Excelente articulação para traduzir "dados técnicos" e análises complexas em narrativas claras e persuasivas para lideranças, clientes e times de mídia.
● Organização e Resiliência: Capacidade de gerenciar múltiplas entregas e manter a integridade de dados em um ambiente dinâmico de agência.

Diferenciais (O que brilha os olhos):

● Estudos de Incrementalidade e Mensuração Avançada: Compreensão teórica ou prática de metodologias como Brand Lift Studies (BLS), Conversion Lift (CLS), MMT (conhecido também como Geo-lift) e MMM.
● Automação e uso de IA: Experiências ou cases com uso de IA, seja com automação de alguma tarefa manual ou suporte para conclusão de atividades.
● Programação: Conhecimentos intermediários/avançados em linguagens como Python ou R para análises preditivas, automação de tarefas e modelagem de dados.
● Hands-on em Mídia: Experiência prévia operando diretamente as plataformas (já ter configurado campanhas no Google/Meta).

Aqui, acreditamos no poder das diferenças. Nosso compromisso com a diversidade está no jeito como enxergamos o mundo, nas relações que cultivamos e nas histórias que queremos construir juntos. Valorizamos perspectivas diversas porque elas enriquecem nosso trabalho, nos desafiam a evoluir e nos tornam mais criativos, humanos e justos. Todas as pessoas são bem-vindas no nosso processo seletivo, independentemente de raça, identidade de gênero, orientação sexual, deficiência, origem ou crença.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience deploying and maintaining machine learning models in production environments.
• 4+ years of experience in machine learning, focusing on data engineering and/or data science.
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the team

We are searching for an Investment Product Specialist to work in the Investment Business Unit within Nubank, which aims to disrupt the investment market in Brazil, offering the best investment products to retail clients.

The Investment Product Specialist is responsible for the development and maintenance of the investment funds platform, offering the best products of the market within their strategy type.

You will be responsible for

• Building a robust platform investment funds tailored to retail and high-income clients.
• Evaluate and select the best fund types in the industry based on target audience.
• Identify and ensure compliance with key regulations affecting fund offerings and platform operations.
• Collaborate with legal and compliance teams to secure necessary licenses and permits.
• Work along with the squads to implement the systems to support platform operations.
• Conduct comprehensive due diligence using industry-standard tools, documentation, and evaluation procedures.
• Draft and negotiate distribution contracts addressing all regulatory, legal, operational, and commercial considerations.

We are looking for a person who has

• Experience: Minimum 5 - 8 years working with Investments
• Clear, concise, and objective communication skills.
• Strong knowledge of the investment funds industry and its regulation.
• Proven skills in stakeholder management and influencing.
• Analytical: Strong analytical and problem-solving skills with a strategic mindset.
• Teamwork: Effective team player with strong interpersonal abilities.
• Language: Advanced proficiency in English.
• Python and VBA are highly desirable.

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/