Senior Commercial Data & Insights Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• You will prepare commercial data for downstream usage in analytics, reporting, planning processes, and commercial systems, ensuring that the outputs are complete, consistent, and in line with established business definitions.

• You will maintain, develop, and enhance the data warehouse, creating ETL solutions, automated data flows, and an analytics “as-a-service” environment across the EMEA region.

• You will apply and uphold market- and country-specific business rules, transformations, and calculations to support local commercial models, KPIs, incentives, and decision-making.

• You will perform validation of staged datasets through systematic quality checks, reconciling results with source systems, and identifying gaps, inconsistencies, or anomalies before release.

• You will serve as the business intelligence partner for the EMEA organization while collaborating with global peers to develop the Global data/analytics platform.

• You will collaborate with business owners and technical colleagues to intake requests and formulate analytical proposals/solutions.

• You will work closely with Commercial Analytics, CRM Operations, MDM, and Sales Operations teams to understand data requirements and ensure that staged outputs meet downstream consumption needs.

• You will document staging logic, transformation rules, calculation methodologies, and market-specific exceptions to ensure transparency, repeatability, and auditability.

• You will support ongoing improvements by updating staging logic in response to changes in business rules, commercial models, country requirements, or upstream data sources.

• You will monitor and track data quality metrics related to staged datasets, proactively identifying opportunities for enhancing robustness, consistency, and reusability.

⛳️ Requirements

• A minimum of 4 years of experience with Tableau, SQL, database management, and data integration.

• Preference for candidates with experience in Python-based data integration and pipeline development.

• Preference for familiarity with GitHub, Oracle, S3, and the Redshift ecosystem.

• Experience in data operations, data preparation, analytics enablement, or reporting roles where the transformation and validation of data for downstream use is a key responsibility.

• A strong understanding of how business rules, calculations, and data definitions influence analytics, reporting, and commercial decision-making.

• Experience working with multi-country or regional commercial data, including managing market-specific logic and local exceptions.

• A keen attention to detail with the capability to systematically test, reconcile, and validate data outputs across various sources.

• A clear communicator who can collaborate effectively with analytics teams, operations teams, and business stakeholders.

• An execution-oriented mindset focused on continuous improvement regarding data quality, scalability, and reliability.

• Ability to thrive in a fast-paced environment where accuracy and consistency are essential for business confidence and decision-making.

🏝️ Benefits

• A complete and comprehensive benefits program.

• Opportunities for growth on a global scale.

• Access to career development through in-house learning programs and/or qualified tuition reimbursement.

• An exciting and innovative organization that is industry-leading and committed to our employees, customers, and the communities we serve.