Senior Commercial Data & Insights Engineer

Dexcom

Stage commercial data for analytics and reporting while collaborating across EMEA. Transforming and validating data to support commercial decision-making and data quality assurance.

Posted 6/11/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftETLOraclePythonSQLTableau

About the role

Key responsibilities & impact

You will stage commercial data for downstream consumption by analytics, reporting, planning processes, and commercial systems, ensuring outputs are complete, consistent, and aligned to agreed business definitions.
You maintain, build, and optimize data warehouse, developing ETL solutions, automated data flow and analytics “as-a-service” environment within EMEA.
You apply and maintain market- and country specific business rules, transformations, and calculations to support local commercial models, KPIs, incentives, and decision-making.
You will validate staged datasets through systematic quality checks, reconciling results to source systems, and identifying gaps, inconsistencies, or anomalies prior to release.
You act as the business intelligence partner for the EMEA organization while partnering with Global peers to develop the Global data/analytics platform.
You partner with business owners and technical peers to in-take requests and develop analytical proposals/solutions.
You partner closely with Commercial Analytics, CRM Operations, MDM, and Sales Operations teams to understand data requirements and ensure staged outputs meet downstream consumption needs.
You document staging logic, transformation rules, calculation methodologies, and market specific exceptions to ensure transparency, repeatability, and auditability.
You support ongoing enhancements by updating staging logic in response to changes in business rules, commercial models, country requirements, or upstream data sources.
You monitor and track data quality metrics related to staged datasets, proactively identifying opportunities to improve robustness, consistency, and reusability.

Requirements

What you’ll need

4+ years working experience with Tableau, SQL, database management, and data integration.
Preference for experience working in Python-based data integration and pipeline development.
Preference for experience working in GitHub, Oracle, S3, and Redshift ecosystem.
You have experience in data operations, data preparation, analytics enablement, or reporting roles where transforming and validating data for downstream use is a core responsibility.
You have strong understanding of how business rules, calculations, and data definitions impact analytics, reporting, and commercial decision-making.
You have experience working with multi-country or regional commercial data, including managing market-specific logic and local exceptions.
You have high attention to detail with the ability to systematically test, reconcile, and validate data outputs across multiple sources.
You have clear communicator able to collaborate effectively with analytics teams, operations teams, and business stakeholders.
You have execution-oriented mindset with a continuous improvement approach to data quality, scalability, and reliability.
You are able to thrive in a fast-paced environment where accuracy and consistency are critical to business confidence and decision-making.

Benefits

Comp & perks

A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata integrationETL solutionsdata warehouse optimizationdata preparationanalytics enablementdata validationdata operationsPythondata quality metrics

Soft Skills

attention to detailclear communicationcollaborationexecution-oriented mindsetcontinuous improvementsystematic testingproblem-solvingadaptabilitytransparencyauditability