Analytics Engineer (Mid-Level)

Description

**About Us** XP Inc. is one of Brazil's largest independent financial institutions, owner of brands including XP, Rico, Clear, XP Educação, InfoMoney, and others. With over 4.6 million active clients and assets under custody exceeding R$ 1.1 trillion, XP Inc. has been transforming the financial market for 24 years to improve people's lives. Guided by four core values — **Big Dreams, Entrepreneurial Spirit, Customer Focus, and Open Mind** — XP Inc. continuously seeks top talent with the ambition to achieve the impossible. **About the Opportunity** ------------------------ As a Mid-Level Analytics Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines, ensuring data quality and integrity for advanced analytics. You will act as a bridge between data engineering and analytics teams, transforming raw data into accessible and actionable insights for business teams. **What We’re Looking For** -------------------- **Essential Requirements:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields; * Practical experience with ETL/ELT tools and data pipelines (e.g., dbt, Airflow, Apache Spark); * Advanced SQL proficiency and data modeling skills; * Familiarity with cloud computing platforms (AWS, GCP, Azure); * Ability to collaborate effectively in teams, communicate clearly, and focus on delivering business value. **Nice-to-Have Qualifications:** * Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI) is a plus; * Knowledge of programming languages such as Python or Scala is highly valued. **Challenges and Impact** ---------------------- * Develop and maintain efficient, scalable data pipelines for data ingestion, transformation, and delivery. * Ensure data quality, consistency, and integrity through automated testing and validation. * Collaborate with Data Science, BI, and Product teams to understand analytical needs and translate them into technical solutions. * Document processes, data models, and workflows to facilitate usage and maintenance. * Optimize queries and processes to improve performance and reduce computational costs. * Monitor and resolve data- and pipeline-related issues. * Participate in defining data architecture and best practices for data engineering. * **Process Steps** * **Initial Screening**: Resume review to assess alignment with qualifications and job requirements. * **General Assessments**: Evaluation of cultural fit via the Mindsight assessment and logical reasoning via the Predictive Index test. * **Recruitment Team Interview**: Discussion about expectations regarding the role and professional goals — an opportunity to get to know each other better and understand your motivations and experiences. * **Leadership Interview**: A conversation to explore your vision and how you can contribute to the team and company. * **Peer Interview**: Interaction with future colleagues to assess synergy and teamwork capabilities. * **Culture-Focused Interview**: Exploration of company values and principles to ensure strong cultural alignment. * **Offer**: Presentation of the employment proposal, including details on compensation and benefits. **Benefits:** Health and Well-being: * Health insurance * Dental insurance * Wellhub (Gympass) * Zenklub * Life insurance * iFood Benefits (flexible VA and VR) * Transportation allowance * New Value (benefits club) * Parental leave: 6 months maternity leave and 20 days paternity leave * Childcare allowance Financial Life * Exclusive investment funds * Investment advisory services * XP Visa Infinite card with no annual fee * Credit options (payroll-deductible loans, home equity loans, real estate CCBs, etc.) **Flexible In-Person Work Model** Our work model varies by function — fully in-person for business-facing roles and more flexible for other teams. We follow a model with higher in-person frequency, always guided by flexibility and autonomy, aligned with our entrepreneurial culture. At XP Inc., we value personal interactions and believe the office serves as a tool to strengthen workplace relationships. * *By proceeding with your application, you declare that you have read, understood, and agree to the Privacy Policy of XP Inc. Group and its vendors and partners supporting the selection process. XP Inc. Group may use artificial intelligence solutions to support the recruitment team throughout the process, which may involve processing your personal data for this purpose, in accordance with the principles of the General Data Protection Law (LGPD) and XP Inc. Group’s Privacy Policy.*