Data Engineer

About Candex is a rapidly growing private global B2B fintech company on a mission to reshape the way businesses transact. Our tech-based solution makes purchasing fast and easy for enterprise buyers. Recognized in the ProcureTech 100 for Procurement Innovation, our SaaS Platform and accompanying services completely transform the buying experience for large companies around the globe. Buyers enjoy the simplicity of Candex for their purchases, vendors get paid faster, and procurement teams love the increased control they gain over purchases — Everyone wins! We serve companies in the Global 2,000 and our existing clients include some of the world’s biggest corporations. We’ve raised over $85M from leading investors including Goldman Sachs, JP Morgan, American Express, Altos, Craft, and NFX. Available in almost 50 countries, Candex is expanding our already robust footprint and is looking for ambitious, fun people to join us on our mission to revolutionize the way businesses engage and pay their suppliers.

Position Overview: We are seeking a talented and experienced Data Engineer to join our team and play a crucial role in transforming raw data into actionable insights. As a Data Engineer with a strong foundation in dbt, you will be responsible for designing, developing, and maintaining data pipelines and data models that support our organization's analytics and reporting needs.

The Role:

• Data Modeling: Design and implement robust data models using dbt, ensuring data integrity and consistency across various data sources.
• Data Pipelines: Develop and maintain efficient data pipelines to extract, transform, and load (ETL) data from diverse sources into our data warehouse.
• dbt Development: Leverage dbt to create reusable and maintainable data transformations, tests, and documentation.
• Data Quality: Implement data quality checks and monitoring processes to ensure data accuracy and reliability.
• Collaboration: Work closely with data analysts and business stakeholders to understand their requirements and translate them into technical solutions.
• Optimization: Continuously optimize data pipelines and models for performance and scalability.
• Documentation: Create clear and comprehensive documentation for data pipelines, models, and processes.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience as a Data Engineer or a similar role.
• Strong proficiency in SQL and Python.
• In-depth knowledge of dbt and its best practices.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with data warehousing concepts and tools.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Core Skills:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance and compliance frameworks.

Equal Opportunity Employer: Studies indicate that individuals from marginalized backgrounds, including women, often choose to apply for positions only when they fulfill all listed requirements. However, if you find that this role resonates with you even though you don't match every criterion, we strongly encourage you to get in touch with us. Our commitment to being an equal opportunity employer drives us to cultivate a workplace that celebrates diversity and inclusivity, embracing individuals from various backgrounds. Our hiring process prioritizes skills and abilities, and our wide-reaching outlook is something we take great pride in. Feel free to reach out!