Data Engineer BI & Reporting
WFA Digital Insight
The demand for data engineers with expertise in BI and reporting has surged in recent years, with a notable 25% increase in job openings in the fintech sector alone. As a data engineer at Veem, you'll be at the forefront of transforming global money movement. With the company's focus on innovation and collaboration, this role stands out for its potential for meaningful contribution and career growth. Before applying, candidates should be aware that a strong foundation in SQL, dbt, and data modeling is essential, as well as experience with BI tools like HubSpot.
Job Description
About the Role
The Data Engineer, BI & Reporting position at Veem is a critical role that requires a unique blend of technical expertise and business acumen. As a key member of the team, you will be responsible for designing, building, and maintaining the company's reporting and analytics infrastructure. This infrastructure is the backbone of Veem's decision-making process, providing insights that drive business growth, customer satisfaction, and revenue optimization.The role is highly hands-on, with a focus on analytics engineering, BI/reporting systems, data modeling, workflow automation, and AI-supported reporting operations. You will work closely with cross-functional stakeholders to ensure that the reporting layer is reliable, scalable, and governed, meeting the needs of various business teams.
Veem is a fast-scaling fintech company that is transforming the way businesses operate and grow internationally. The company's solution combines global payments, FX optimization, and embedded financial tools, making it an exciting place to work for professionals who are passionate about innovation and making a real impact.
What You Will Do
- Build and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasets
- Clean, structure, and document complex or messy data systems
- Develop trusted reporting foundations for business teams
- Improve data consistency, metric governance, and reporting standards
- Design maintainable transformations and reusable analytics layers
- Own production dashboards, recurring reports, KPI packs, and reporting workflows
- Maintain and improve BI systems across business functions
- Partner with stakeholders to define KPIs, business logic, and reporting requirements
- Ensure dashboard accuracy, reliability, and usability
- Support self-serve analytics capabilities
What We Are Looking For
- 3-6 years of experience in analytics engineering, BI engineering, reporting engineering, data analytics, data modeling, or similar fields
- Advanced SQL skills and strong hands-on dbt experience
- Experience building SQL tables, marts, semantic layers, reporting datasets, and transformation pipelines
- Familiarity with BI tools such as Looker, Tableau, Power BI, Metabase, Sigma, Hex, or similar
- Experience maintaining dashboards and recurring reports in production environments
- Experience with data QA, monitoring, and reporting automation
- Strong documentation habits and QA mindset
Nice to Have
- Experience with AI-driven reporting and QA agents
- Knowledge of workflow automation tools and techniques
- Familiarity with cloud-based data platforms and services
- Certification in data engineering, BI, or a related field
Benefits and Perks
- Competitive salary and bonus structure
- Comprehensive health benefits package
- Opportunity to work with a fast-scaling fintech company
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible remote work arrangements
- Access to the latest tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- When applying, make sure to highlight your experience with SQL, dbt, and data modeling, as these are essential skills for the role.
- Showcase your ability to work independently and as part of a team, with a focus on delivering high-quality results.
- Familiarize yourself with Veem's products and services, and be prepared to discuss how your skills and experience align with the company's goals.
- Be prepared to provide examples of your work, such as dashboards or reports you've built, and explain your thought process and design decisions.
- Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for growth and development.
- Remember to discuss your experience with BI tools like HubSpot and how you've used them to drive business insights and decision-making.
- Be clear about your salary expectations and be prepared to negotiate based on your research and industry standards.
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