Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The Data Engineer will lead end-to-end ETL processes for financial data and advise clients on data standardization and best practices. They will also collaborate cross-functionally to troubleshoot data issues and influence product development based on customer needs.
Job details
MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction. At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish. Role Overview As a Data Engineer, you will collaborate with internal and external stakeholders as the data expert of the implementation process. Your role includes identifying data requirements, creating optimal data migration processes, and advising clients on how to create repeatable ETL processes. Your focus will include technical & product support, project management and business analytics. Our fast-paced environment demands adaptability, curiosity and an unyielding attitude towards delivering the best possible experience to MindBridge customers. What You will Do Advise clients on how to drive standardization and best practices for data structures, quality, reuse Lead the end-to-end data ETL process from a customer's ERP system into MindBridge Develop an understanding of ERP financial data models to automate and manage complex ETL jobs Extract, format and shape financial data Troubleshoot, provide work-arounds, and permanent fixes to data issues Develop & maintain internal and external facing templates and documentation, including data requirements, process, flow diagrams, and mapping Design data pipelines for internal analytics, management reports and dashboards Be the data ingestion product expert and stay up-to-date on new features Provide feedback and influence the product decisions based on customers' needs Cross-functionally collaborate with customer success, support, product management, development, and data scientists to provide innovative client solutions Provide a data expert's lens to roadmap discussions to ensure future feature additions are software/release testing as required What You Bring Comfortable manipulating datasets with Python Comfortable with creating API requests Are proficient with Microsoft Excel, Python, SQL and Project Management software Have a positive attitude, detail-oriented, self-motivated, and team-oriented Have excellent interpersonal communication skills and are comfortable speaking with developers, data scientists, product managers and business leaders Are focused on optimizing customer experience Champion change and seek new and better ways to solve problems Adjust priorities on the fly and thrive in a fast-paced environment and culture May be required to travel to the US, UK and EU Are willing to support client requirements that, on occasion, fall outside of normal business hours Desired education and experience: 5+ years of experience of using SQL and Python building and shaping structured/semi-structured datasets 5+ year’s experience working on projects and have advanced experience with ETL, data lakes, as well as data analysis and profiling, mapping, modeling, and analytics 5+ year’s experience providing customer service, consulting, or support in a software/technology company 5+ years of experience with ERP systems (e.g. Oracle, Netsuite, Sage, SAP, etc) Proficient with Microsoft Excel, including VBA and macros Computer Science/ Accounting/Business degree or equivalent experience required Previous experience in accounting/audit considered a strong asset Requirements Contingent on Employment: Fulfill requirements necessary to obtain and clear a full background check Pay Range The expected base salary range for this position is to $90,000 to $110,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, experience and competencies, and unique qualifications. Why You’ll Love Being Part of Our Team 📈 Competitive Compensation and Equity 🏠 Flexible Work – Hybrid or Remote 🍏 Comprehensive health benefits and wellness programs 📚 Professional development opportunities 🌴 Flexible Time Off 💰 Company Matched Retirement Plans 🔕 Unplug and recharge - 4 company-wide digital detox days annually Equal Opportunity at MindBridge At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks. MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors. At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us. Please be advised that we may use AI tools in the processing of your application. *** ⚠️ Recruitment Fraud Notice We’ve recently become aware of individuals impersonating MindBridge team members and contacting candidates about fraudulent job opportunities. Please note that legitimate recruitment communications from MindBridge will always come from an @mindbridge.ai email address. MindBridge will never ask candidates to send money, make purchases, provide banking credentials, or share sensitive personal information through unofficial channels as part of our recruitment process. Please be cautious of unsolicited outreach or communications from other domains. If you are ever unsure whether a job posting, recruiter, or message is legitimately from MindBridge, please contact us through our official channels so we can verify it for you.
What you’ll do
The Data Engineer will lead end-to-end ETL processes for financial data and advise clients on data standardization and best practices. They will also collaborate cross-functionally to troubleshoot data issues and influence product development based on customer needs.
Requirements
Candidates must have at least 5 years of experience with SQL, Python, ETL processes, and ERP systems. A degree in Computer Science, Accounting, or Business is required, along with strong interpersonal communication skills.
Benefits
- Competitive Compensation
- Equity
- Flexible Work
- Comprehensive Health Benefits
- Wellness Programs
- Professional Development Opportunities
- Flexible Time Off
- Company Matched Retirement Plans
- Digital Detox Days
Listed skills
- SQL · Preferred
- ERP systems · Preferred
- Data analysis · Preferred
- Microsoft Excel · Preferred
- Project management · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- ETL
- Data Engineering
- Data Migration
- ERP Systems
- Financial Data Models
- Data Analysis
- Data Profiling
- Data Mapping
- Data Modeling
- Microsoft Excel
- VBA
- Macros
- Project Management
- API Requests
- Data Lakes
- Influencing Skills
- Customer Success Management
- Influencing Without Authority
- Management Reporting
- Curiosity
- Positivity
- Self-Motivation
- Accounting
- Adaptability
- Application Programming Interface (API)
- Artificial Intelligence
- Auditing
- Business Analytics
- Dashboard
- Customer Service
- Computer Science
- Confidentiality
- Consulting
- Extract Transform Load (ETL)
- Data Structures
- Enterprise Resource Planning
- Finance
- Excel Macros
- Financial Data
- Financial Risk
- Scalability
- Innovation
- Interpersonal Communications
- Python (Programming Language)
- Project Management Software
- Process Flow Diagrams
- Product Management
- Product Support
Job areas
- Data & Analytics
- Software
- Finance & Accounting
- Consulting
- Technology
- Data Engineer
- Software Developers
- Database Administrators
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