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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)