The Data Engineer - Finance Systems & Analytics plays a critical strategic role bridging the gap between Finance and Information Technology. In this position, you will transform complex business data requirements into high-performing, scalable technical solutions.
The Data Engineer - Finance Systems & Analytics plays a critical strategic role bridging the gap between Finance and Information Technology. In this position, you will transform complex business data requirements into high-performing, scalable technical solutions.
You will lead the prototyping, validation, and optimization of finance data workflows across the Bronze, Silver, and Gold layers within Microsoft Fabric and Power BI environments. This role is essential for driving data accuracy, enhancing reporting efficiency, and scaling analytical models supporting core Finance operations and reporting workflows.
Partner closely with Finance leadership and business stakeholders to translate complex requirements into scalable data models and analytical transformations.
Prototype, build, and test ETL/ELT pipelines prior to IT deployment, ensuring strict alignment with Finance's analytical and operational requirements.
Design, optimize, and document robust finance data models within Microsoft Fabric and Power BI to support enterprise reporting.
Direct data validation and continuous refinement for critical financial workflows and operational reporting models.
Collaborate with core IT engineering teams to transition validated models into production-grade ETL pipelines.
Proactively audit, identify, and resolve inconsistencies related to data quality, lineage, and transformation logic.
Required Skills & Experience
Expert-level proficiency in SQL, Python, and Power BI.
Hands-on experience developing within Microsoft Fabric or equivalent enterprise data engineering platforms.
Proven expertise in ETL/ELT pipeline development, dimensional data modeling, and rigorous data validation methodologies.
Demonstrated ability to bridge technical and non-technical stakeholders across Finance and IT units.
Exceptional analytical, problem-solving, and troubleshooting skills with high attention to detail.
Preferred Qualifications
Prior experience in data engineering, data science, or BI within a Finance, Fintech, or corporate analytics department.
In-depth understanding of Data Lakehouse architectures and multi-layer data pipelines (Bronze/Silver/Gold paradigms).
Practical background in financial reporting structures, AR workflows, and performance metric analyses.
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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
