Intermediate Data Engineer

AB InBev

What You Do * Support the development and maintenance of data pipelines, ingestion processes, and data transformations. * Create and maintain SQL queries, Python scripts, and Spark-based workloads used for data processing and analytics. * Assist in troubleshooting pipeline failures, data quality issues, and operational incidents. * Work with senior engineers to implement schema mappings, transformation logic, and data validation rules. * Ensure datasets meet expected schemas, data contracts, and quality standards. * Support metadata management, dataset documentation, and lineage activities. * Assist in maintaining data classification information according to company standards. * Help automate repetitive operational and data management tasks to improve efficiency and reliability. * Contribute to monitoring, alerting, and operational support for data pipelines and workflows. * Participate in testing activities, including unit tests, transformation validation, and data quality checks. * Follow established engineering standards, coding practices, and team development patterns. * Learn and apply security, privacy, and compliance requirements when handling sensitive or regulated data. * Collaborate with Data Governance, Security, and Compliance teams when required. * Contribute to continuous improvement initiatives focused on data trust, reliability, and operational excellence. Requirements and Qualifications * Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields. * Basic to intermediate English. * Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas. * Knowledge of SQL and Python. * Understanding of ETL/ELT concepts and data transformation processes. * Familiarity with relational databases and data warehousing concepts. * Basic knowledge of Spark, Databricks, or distributed data processing frameworks. * Familiarity with Git and version control workflows. * Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud. * Knowledge of automation concepts and scripting for operational efficiency. * Basic understanding of data quality concepts and validation practices. * Familiarity with data governance principles, including metadata, ownership, stewardship, and documentation. * Basic knowledge of data classification concepts (Public, Internal, Confidential, Restricted). * Understanding of data lineage and traceability concepts. * Awareness of security best practices, including access management, secrets management, and least-privilege principles. * Strong analytical, problem-solving, and communication skills. * Willingness to learn new technologies and collaborate across teams. Security, Compliance & Governance * Follow company standards for handling sensitive and regulated data. * Apply data classification requirements when creating or maintaining datasets and pipelines. * Use approved authentication, authorization, and secrets management mechanisms. * Avoid exposing sensitive information through logs, exports, testing data, or documentation. * Support auditability by maintaining documentation, metadata, and lineage information. * Escalate security, privacy, or compliance concerns when requirements are unclear. * Follow established governance processes and contribute to improving data trust across the organization. How You Work * Demonstrate curiosity and a continuous learning mindset. * Write clean, readable, and maintainable code. * Follow coding standards, testing practices, and development workflows. * Communicate progress, blockers, and technical questions clearly. * Participate in code reviews and knowledge-sharing activities. * Take ownership of assigned tasks while escalating risks or uncertainties appropriately. * Contribute positively to team collaboration and a culture of continuous improvement. Nice to Have * Experience with Databricks, dbt, or similar technologies. * Familiarity with CI/CD tools such as GitHub Actions, Azure DevOps * Familiarity with APIs, JSON, event-driven architectures, or messaging systems. * Exposure to vulnerability scanning, secret scanning, or secure development practices. * Understanding of privacy regulations such as LGPD, GDPR, or similar frameworks.

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.   About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.   What you'll do  * Develop and maintain dashboards, KPIs, and analytical deliverables with end-to-end accountability for data accuracy, metric definitions, and stakeholder usability.  * Use SQL and Power BI to query, model, and visualize data — building reliable reports that support business decision-making.  * Collaborate with commercial, product, and Data Engineering teams to translate requirements into clear, actionable analytics.  * Monitor data quality, flag inconsistencies early, and support corrective actions with engineering partners.  * Contribute to metric standardization and documentation — helping ensure consistent definitions across reports and tools.  * Work in Git-based workflows (branches, pull requests) for SQL and BI assets, following team standards for versioned analytics delivery.  * Support team initiatives such as centralized KPI layers, structured self-service, and the migration toward more robust analytics operations — including CI/CD for BI where applicable.  * Deliver ad hoc analyses with limited supervision, connecting insights to business questions and recommending next steps.    What you'll need  * BA/BS in Math, Statistics, Economics, Engineering, Computer Science, or related quantitative field.  * Advanced SQL for querying, transformation, and analytical modeling.  * Advanced Power BI — data modeling, DAX, and dashboard design.  * Basic Python and PySpark — able to read and interpret scripts; complex pipeline work done with Data Engineering support.  * Intermediate Statistics — sound metric interpretation and support for data-driven decisions.  * Experience with Git and collaborative development workflows.  * Relevant years of experience in data analytics with a track record of delivering KPIs and dashboards in cross-functional environments.  * Advanced English (spoken and written) for global collaboration.    More about you  * Detail-oriented — validates numbers, edge cases, and business rules before releasing deliverables.  * Proactive and solution-oriented — suggests improvements, not only executes requests.  * Clear communicator — explains analytical results to technical and non-technical audiences.  * Collaborative — works well with Data Engineering and business stakeholders.  * Fast learner — comfortable ramping up in complex domains and evolving team practices.  * Quality-minded — sees reliable metrics and maintainable data products as core to the role.   What We Offer: * Performance based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied   Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Backend Engineer, Analytics Instrumentation An overview of this role Analytics Instrumentation is part of the Data Engineering and Monetization (DE&M) group, focused on the collection of Product Usage, and Billing event data within GitLab. We build data collection platforms that enable product teams to assess user behavior and make evidence-based choices through privacy-conscious instrumentation that captures product usage throughout the user lifecycle. As an Intermediate Backend Engineer, you'll contribute to the design and development of a unified, data infrastructure platform that consolidates analytics instrumentation across GitLab's engineering organization. You'll help build and maintain backend systems that give the company visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments. That data directly informs strategic product priorities and strategies. This role offers the opportunity to work on foundational infrastructure that simplifies instrumentation for teams at GitLab, replacing the complexity of multiple language-specific software development kits with a single, unified solution that teams can rely on. WHAT YOU’LL DO * Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams. * Help improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy. * Support usage billing and instrumentation systems during working hours, with success measured by timely incident handling and reliable service restoration. * Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders. * Contribute to technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and trusted downstream data. WHAT YOU’LL BRING * Experience working with platform or infrastructure systems in production environments. * Proficiency in the Go programming language, with experience building and maintaining production services. * Backend development experience, with the ability to contribute to scalable, reliable systems serving internal and external customers. * Familiarity with infrastructure concerns such as system reliability, performance at scale, data quality, and observability. * Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries. * Familiarity with cloud native technologies and open source development practices. ABOUT THE TEAM The Analytics Instrumentation team operates at the intersection of Product, Analytics and customer facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration, while building inclusive solutions that respect user privacy. Our work enables data-driven decision making across the organization. The Analytics Instrumentation team operates at the intersection of Product, Analytics, and customer-facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go, and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration while building inclusive solutions that respect user privacy. Our work enables data-driven decision making and data-informed planning across the organization. We're involved in diverse projects from event data collection and privacy compliance tools to AI-powered analytics frameworks that help GitLab teams learn about their users better. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.