About the role

Our Senior Data Engineer develops and maintains scalable data systems that enable real-time information for reporting, analytics, and actionable insights. This role focuses on building secure and efficient data infrastructure capable of managing high transaction volumes while collaborating with cross-functional teams to foster efficiency and elevate professionalism within the team.

Essential Duties & Responsibilities

• Data Infrastructure Development: Design, develop, and maintain robust data pipelines and ETL processes to handle large-scale structured and unstructured data.

• Data Scraping and Extraction: Create and optimize data scraping solutions to collect high-quality job data from multiple sources, ensuring scalability and accuracy.

• Data Quality Assurance: Implement validation and monitoring mechanisms to uphold data integrity, accuracy, and reliability.

• Performance Optimization: Analyse system performance, resolve bottlenecks, and address scaling challenges within the data infrastructure.

• Integration and Deployment: Collaborate with cross-functional teams to deploy automation models efficiently and seamlessly into production environments.

• Technology Evaluation: Stay up-to-date with emerging technologies and best practices, recommending and implementing tools and methodologies to enhance our processes.

• Leadership Role: Act as a key reference within the team to support the professional growth of data analysts, enhancing their skills through collaboration on assigned projects.

• Collaboration: Partner closely with Treasury, Accounting, Operations and BI teams to understand data requirements and deliver tailored technical solutions.

• Documentation and Standards: Develop and maintain comprehensive documentation for data pipelines, systems architecture, and processes, ensuring compliance with industry standards.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Job Experience

• At least 5 years of proven experience in data engineering, with expertise in building and managing data pipelines and infrastructure.

• 5+ years of experience in Python skills for ETL (pandas, numpy, scikit-learn, requests, plotly).

• Strong knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases.

• Solid understanding of data modeling, schema design, and data warehousing concepts.

• Prior experience using Git.

• Bash, R, PHP, Javascript, some experience with SAP environment.

• API management is highly valued.

• Experience working with Azure and Talend is a plus.

Professional knowledge

• Exceptional analytical and troubleshooting skills.

• Attention to detail with precise and effective communication

• Focus and intuition for understanding the needs of the business

• Fluency in both English and Spanish.

• HR interview (30min)

• Technical assessment

• Team Manager and CFO interview (1 hour)