Data Engineer
Skills
Location
Languages
Fluent EnglishFluent Spanish
Job Description
We're looking for a passionate Data Engineer to join an Analytics Transformation team focused on advancing data infrastructure and cloud analytics solutions for complex financial data environments.
🎯 Responsibilities
- Partner with business stakeholders to translate requirements into technical solutions
- Design, build, and maintain data pipelines and prototypes to analyze large-volume transactional data
- Develop and optimize solutions using Databricks, PySpark, Python, SQL, and Azure Data Factory (ADF)
- Ensure data quality, accuracy, and consistency of financial data
- Troubleshoot end-to-end data issues and identify root causes
- Collaborate with IT, architects, and analysts to align with platform standards
- Document data flows and support continuous improvement of data processes
- Develop and enhance a central cloud data model to enable standardized, cross-country analytics
🛠️ Requirements
- Degree in Computer Science, Engineering, Business Informatics, or related field
- Strong experience as a Data Engineer in a business-facing role
- Proven expertise with Databricks, Azure, Python, PySpark, and Azure Data Factory
- Experience working with financial data and data quality controls
- Ability to translate ambiguous requirements into practical solutions
- Strong problem-solving, communication, and collaboration skills
- Familiarity with CI/CD practices and a detail-oriented, ownership-driven mindset
- Professional fluency in English and Spanish
➕ Nice to have
- Experience applying AI/ML to enhance data quality, detect anomalies, or support advanced analytics