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In this role, you will lead end-to-end data-warehouse and analytics engineering initiatives for clients across North America, Europe, and Asia. You’ll be responsible for gathering requirements, designing scalable data architectures, building robust ETL/ELT pipelines, and delivering analytics-ready datasets for BI platforms such as Power BI, Tableau, and Looker. You will collaborate directly with global stakeholders, guide technical decisions, and ensure high-quality, reliable data solutions. This position requires 5+ years of experience in analytics or data engineering, strong SQL and cloud data-warehouse skills, expertise in dimensional modeling, and C1 English proficiency for client-facing communication.
Role Description
Data Architecture & Modeling
Lead end-to-end data-warehouse implementations, including requirements discovery, solution design, development, and deployment.
Build and maintain scalable data models (conceptual, logical, and physical) following industry best practices (e.g., Kimball, Data Vault).
Translate business needs into clear technical specifications, documentation, and data requirements.
Establish and enforce data architecture standards, schemas, and naming conventions.
ETL/ELT Pipeline Development
Design, develop, and optimize automated ETL/ELT workflows using tools such as Pentaho, TimeXtender, DBT, Azure Data Factory, or similar.
Create transformation logic, data-quality validation, and workflow orchestration for complex integrations.
Implement robust monitoring, quality checks, and performance optimization across all pipelines.
Ensure data accuracy, consistency, and reliability across source and target systems.
Analytics & Reporting Enablement
Deliver analytics-ready datasets for BI platforms such as Power BI, Tableau, Looker, or Qlik.
Collaborate closely with data analysts, BI developers, and business teams to enable advanced reporting and insights.
Optimize data structures for performance, usability, and scalability within reporting environments.
Client Collaboration & Leadership
Act as a technical lead for international client engagements across multiple time zones.
Lead requirements workshops, solution walkthroughs, and technical presentations with senior stakeholders.
Collaborate with global engineering, analytics, and consulting teams.
Mentor junior engineers and contribute to best-practice development across the organization.
What you'll do
Required Qualifications
5+ years of experience as an Analytics Engineer, Data Engineer, or Data Warehouse Engineer.
Proven experience owning end-to-end data-warehouse implementations.
Strong hands-on experience with ETL/ELT tools: Pentaho, TimeXtender, DBT, Azure Data Factory, or similar platforms.
Advanced proficiency in SQL and experience with modern cloud data warehouses (SQL Server, Snowflake, BigQuery, Redshift, Azure Synapse, MySQL, PostgreSQL).
Expert understanding of data modeling principles and dimensional modeling frameworks.
Experience documenting business requirements, technical specifications, data mappings, and process flows.
Familiarity with Git-based version control and CI/CD for data pipelines.
English proficiency at C1 level (Business Proficient)—capable of leading client meetings, presenting solutions, and writing technical documentation in English.
Preferred Qualifications
Experience with major cloud providers: Azure, AWS, or GCP.
Experience working in consulting, nearshore delivery, or multi-country client environments.
Knowledge of data governance, cataloging, and data-quality frameworks.
Familiarity with agile methodologies and distributed teams.
Qualifications
Global clients across North America, Europe, and Asia, including technical and business stakeholders.
Cross-functional teams of data analysts, BI developers, data engineers, and solution architects.
Internal engineering and consulting teams to align on project scope, delivery, and technical standards.
Senior stakeholders during requirements sessions, solution reviews, and technical presentations.
Junior engineers whom you’ll mentor and support in adopting best practices.
Who you'll work with
Proactiviti offers competitive compensation, training, and hardware and software.
Salary & Benefits
Senior Analytics Engineer
LATAM
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Remote
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