About PureFacts Financial Solutions

PureFacts Financial Solutions is a global leader in wealth management technology, delivering AI-driven, enterprise-grade software solutions that help financial firms grow revenue, reduce costs, and deliver better client outcomes. At PureFacts, we believe in building purposeful technology, driven by our values: Purposeful, United, Respectful, Empathetic, Future-Focused, Accountable, Curious, Trusted, and Smart.

We are scaling rapidly and building the people, processes, and culture to match. We’re looking for a Data Engineer to join our team and help bring this mission to life.

About the role

We are looking for a Data Engineer who will play a key role in building, maintaining, and optimizing our data pipelines and infrastructure. You will work closely with data scientists, analysts, and other engineers to ensure the reliable and efficient flow of data across our systems. This role offers a fantastic opportunity to develop your skills in Microsoft Fabric, Azure, and DBT within a collaborative and supportive environment. 

What you'll do

• Assist in the design, development, and maintenance of data pipelines using Microsoft Fabric and Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage). 
• Develop and maintain data transformation logic using DBT (data build tool) for data modeling and quality. 
• Support the ingestion and integration of data from various sources into our data platform. 
• Monitor and troubleshoot data pipeline issues, ensuring data accuracy and availability. 
• Collaborate with senior engineers to implement best practices for data governance, security, and performance optimization. 
• Contribute to the documentation of data models, pipelines, and processes. 
• Participate in code reviews and contribute to a culture of continuous improvement. 
• Learn and stay up to date with the latest trends and technologies in data engineering. 

Qualifications

• Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related quantitative field. 
• Familiarity with foundational data concepts (e.g., ETL/ELT, data warehousing, data modeling). 
• Basic understanding of SQL and relational databases. 
• Some exposure to cloud platforms (preferably Azure). 
• Eager to learn and develop skills in Microsoft Fabric, Azure, and DBT. 
• Strong problem-solving skills and attention to detail. 
• Excellent communication and collaboration skills. 
• Ability to work independently and as part of a team. 

Bonus Points (Nice to Have): 

• Prior coursework or projects involving data engineering concepts. 
• Experience with any programming language (e.g., Python, Scala). 
• Familiarity with version control systems (e.g., Git). 
• Understanding of data visualization tools (e.g., Power BI). 
• Any certifications related to Azure or data engineering.