Senior Finance Data Engineer

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

About the Role

We're looking for a Senior Data Engineer to join our Finance BI team and help shape the future of data-driven decision making across IFS. In this role, you'll design, build, and operate trusted finance data products and scalable data pipelines that power financial reporting, forecasting, planning, ARR analytics, executive dashboards, and emerging AI-driven insights.

You will work at the intersection of finance, analytics, and modern cloud data engineering, partnering closely with Finance leaders, analysts, IT teams, product organizations, and external partners to transform complex operational and financial data into high-quality, analytics-ready solutions.

The ideal candidate is a hands-on data engineering professional who combines strong technical expertise with a practical understanding of business reporting, data governance, and enterprise-scale analytics.

What You'll Do

• Design, build, test, and maintain scalable data pipelines across finance and enterprise source systems.
• Develop and optimize ELT/ETL processes using modern cloud data platforms and engineering best practices.
• Create curated, analytics-ready datasets and data models for Power BI, forecasting, planning, and executive reporting.
• Implement data quality frameworks, reconciliation processes, validation controls, and monitoring capabilities to ensure trust in reporting outputs.
• Support strategic Finance BI initiatives, including ARR by Product reporting, personnel planning, finance dashboards, forecasting solutions, and other reporting programs.
• Partner with analysts and business stakeholders to understand reporting requirements, metric definitions, and analytical use cases.
• Optimize the performance, reliability, scalability, and usability of datasets, semantic models, and analytics pipelines.
• Apply data security, governance, access management, and documentation standards aligned with enterprise best practices.
• Contribute to DevOps, CI/CD, testing, deployment, and release management processes.
• Support AI, Copilot, and agent-based analytics solutions through well-governed, reusable, and trusted data assets.

Qualifications

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Finance Technology, or a related field, or equivalent practical experience.
• Typically 5+ years of experience in data engineering, analytics engineering, business intelligence, or data platform delivery.
• Strong hands-on experience designing and building enterprise data engineering solutions.
• Advanced SQL skills and experience working with complex financial, operational, or business-critical datasets.
• Strong Python experience for data transformation, automation, orchestration, and pipeline