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 DescriptionAbout 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.
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 development.
- Experience building and supporting production-grade data pipelines on Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or comparable cloud data platforms.
- Solid understanding of dimensional modeling, semantic layers, data governance, lineage, data quality frameworks, and production support practices.
- Experience supporting Power BI datasets, semantic models, or enterprise reporting environments.
- Ability to translate business requirements into scalable and maintainable data solutions.
- Strong analytical thinking, problem-solving, documentation, and stakeholder communication skills.
Preferred Qualifications
- Experience with Spark, PySpark, Delta Lake, lakehouse architectures, or medallion data design patterns.
- Experience working with Finance, FP&A, SaaS metrics, ARR reporting, ERP systems, or planning and forecasting data.
- Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and modern software engineering practices.
- Exposure to AI-enabled analytics, Microsoft Copilot, semantic model optimization, or data agents.
- Understanding of data privacy, financial controls, risk management, and governance requirements in enterprise environments.
What Makes You Successful
- Strong sense of ownership and accountability for delivering high-quality solutions.
- Passion for data quality, accuracy, and continuous improvement.
- Ability to simplify complex data challenges into scalable solutions.
- Strong collaboration and stakeholder engagement skills.
- Automation-first mindset with a focus on operational excellence and efficiency.
- Comfortable working in a fast-paced, cross-functional environment where business impact matters.
Additional Information
What We’re Offering
- Salary Range: $78,000 to $98,000 annually + bonus
- Flexible paid time off, including sick and holiday
- Medical, dental, & vision insurance
- 401K with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Finance Technology, or related field (or equivalent 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 with complex financial or operational datasets
- Strong Python experience for data transformation, automation, orchestration, and pipeline development
- Experience building and supporting production-grade data pipelines on Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or comparable cloud data platforms
- Solid understanding of dimensional modeling, semantic layers, data governance, lineage, data quality frameworks, and production support practices
- Experience supporting Power BI datasets, semantic models, or enterprise reporting environments
- Ability to translate business requirements into scalable and maintainable data solutions
- Strong analytical thinking, problem-solving, documentation, and stakeholder communication skills
- Experience with Spark, PySpark, Delta Lake, lakehouse architectures, or medallion data design patterns
- Experience working with Finance, FP&A, SaaS metrics, ARR reporting, ERP systems, or planning and forecasting data
- Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and modern software engineering practices
- Exposure to AI-enabled analytics, Microsoft Copilot, semantic model optimization, or data agents
- Understanding of data privacy, financial controls, risk management, and governance requirements in enterprise environments
IFS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IFS and has not been reviewed or approved by IFS.
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Retirement Support — Retirement support is presented as part of the package in North America through a 401(k) plan and references to pension/defined contribution arrangements in some contexts.
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Healthcare Strength — Healthcare coverage is described as available in some regions, including health, dental, life, and disability insurance offerings.
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Strong & Reliable Incentives — Variable pay elements such as monthly bonuses and profit sharing are described as meaningful in certain roles, with bonuses tied to performance outcomes like reduced downtime.
IFS Insights
What We Do
IFS develops and delivers enterprise software for companies around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. Within our single platform, our industry specific products are innately connected to a single data model and use embedded digital innovation so that our customers can be their best when it really matters to their customers – at the Moment of Service. The industry expertise of our people and of our growing ecosystem, together with a commitment to deliver value at every single step, has made IFS a recognized leader and the most recommended supplier in our sector. Our team of 5,000 employees every day live our values of agility, trustworthiness and collaboration in how we support our 10,000+ customers. Learn more about how our enterprise software solutions can help your business today at ifs.com. Follow us on Twitter: @ifs Facebook: www.facebook.com/ifsdotcom Instagram: www.instagram.com/ifsdotcom Visit the IFS Blog on technology, innovation and creativity: https://blog.ifs.com/






