Data Engineering Lead- Finance

Job Description We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation. Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands‑on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL. Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of data modeling, pipeline orchestration and performance optimization. Strong problem‑solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus. Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git‑based workflows and CI/CD pipelines. Experience in the construction industry or a similar field is a plus but not required. Equal Employment Opportunity Statement DPR is an equal‑opportunity employer and prohibits discrimination and harassment of any kind. All employment decisions at DPR are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national or ethnic origin, sex (including pregnancy), age, physical or mental disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, medical history or genetic information, or any other status protected by the laws or regulations in the locations where we operate. DPR will not tolerate discrimination or harassment based on any of these characteristics. Read more in our EEOE Policy. If you require a reasonable accommodation to complete this application or any step in the process: In the US, call Human Resources at View phone number on click.appcast.io . In Europe, email View email address on click.appcast.io . #J-18808-Ljbffr