Data Engineer - Sr BI Engineer (ThoughtSpot)

POSITION OBJECTIVE: As a Senior BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization, as well as high-load database solutions for various business use cases, including reporting, product analytics, marketing optimization, and financial reporting. You will focus on developing a reliable aggregation layer and reporting framework that meets growing business needs, enabling teams to independently access and analyze data. You will contribute as part of a self-organized team of experienced data engineers, working in a challenging and innovative environment for our client, creating the foundation for decision-making in a company that handles billions of events per day. You will investigate, design, and implement solutions to existing technical challenges. You will provide guidance, instruction, direction, and leadership to a development team in order to achieve project goals. MAIN TASKS AND RESPONSIBILITIES: - Analyze the scope of alternative solutions and make implementation decisions within your domain based on experience and technical knowledge. - Lead the functional and architectural design of assigned areas. Ensure that project design decisions meet architectural and design requirements. - Identify area-level risks and define and implement mitigation plans. - Report on area readiness/quality and escalate issues in crisis situations beyond your area of responsibility. - Take ownership of resolving crisis situations within your area of responsibility. - Conduct design consultations and reviews to ensure business needs are met. - Identify and execute risk mitigation and compliance activities. - Use Business Intelligence tools to build and support dashboards. - Collaborate with team members and cross-functional partners to support business processes and system solutions. - Manage and resolve customer escalations and systemic improvements. - Work with Business Analysts to deliver new scalable solutions for business functions. - Lead validation efforts to ensure data quality. - Design, develop, and maintain robust data models to support analytical and product data needs across the organization. - Define business KPIs, measurement plans, data requirements, and reporting structures. - Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse environments. - Initiate and lead code reviews; establish coding standards, conventions, and guidelines. - Propose technical and functional improvements to add product value. - Continuously seek professional development. - Collaborate with other teams. REQUIRED EDUCATION AND EXPERIENCE: Mandatory: - Over 8 years of total experience, including 4–5 years in Business Intelligence, Data Analytics, Data Engineering, or similar roles. - Bachelors degree in Computer Science or related fields. - Proficiency in BI tools: Deep knowledge of ThoughtSpot; experience with Tableau/Power BI is a plus. - Hands-on experience with ThoughtSpot is essential. - Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3NF, Data Vault), data warehousing (ETL/ELT), and performance optimization. - Proficiency in Python programming. - Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and familiarity with data visualization tools (e.g., Looker, Tableau). - Excellent communication skills and experience working with both technical and non-technical teams. - Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions. - Comfortable working in a dynamic, proactive, and self-organized environment. Nice to Have: - Experience with real-time data processing and streaming technologies. - Familiarity with machine learning concepts and their data requirements. SKILLS: - Python (advanced proficiency) - Strong SQL skills (data modeling, data warehousing, performance optimization) - Data warehousing platforms (Snowflake, Databricks, Redshift, etc.) and data visualization tools (Looker, Tableau, etc.) - ThoughtSpot (advanced proficiency) Work Model: 100% Remote – Lisbon (WET): 14:00 – 00:00 (aligned with Eastern Time business hours: 09:00 – 19:00 EST) Languages: English C1 or higher Industry: Technology / Local Commerce / Consumer Cyclical

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