Data Engineering Lead- Finance

Overview

Design, build, and maintain Azure-based data pipelines and models to support business needs.

Key Responsibilities

• data modeling
• data quality
• debugging
• documentation
• etl pipelines
• data delivery

Tasks

-Partner with the extended data team to define, develop, and maintain shared data models and definitions. -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. -Create and maintain both business requirement and technical requirement documentation -Support incident resolution and perform root cause analysis for data-related issues. -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. -Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. -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.

Requirements

• power bi
• airflow
• azure
• aws
• python
• sql

What You Bring

-Familiarity with tools like Power BI for data visualization is a plus. -Knowledge of Airflow or other orchestration tools. -Experience in the construction industry or a similar field is a plus but not required. -Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). -Experience working with Git-based workflows and CI/CD pipelines -Strong problem-solving skills and ability to troubleshoot complex data issues. -Excellent communication skills, with the ability to work collaboratively in a team environment. -Solid understanding of Data Modeling, pipeline orchestration and performance optimization -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). -Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. -Experience with modern data platforms like Snowflake and Microsoft Fabric. -Experience working with or coordinating with overseas teams is a strong plus

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About Dpr Construction

-A forward-thinking construction company that has grown from a small operation to a nationwide leader in the industry. -Focuses on complex, large-scale projects and is known for its expertise in delivering innovative, high-quality construction solutions. -Successfully completed projects across a range of sectors, including commercial, healthcare, education, and data centers, standing out for its ability to manage large budgets and tight schedules. -Notably completed several landmark projects, including high-tech facilities and cutting-edge educational buildings, often involving collaboration with some of the largest tech and medical organizations in the world. -Strong track record in renewable energy, particularly in solar and energy-efficient construction, positioning them as a leader in sustainable building practices. -Approach to construction is driven by technology and innovation, consistently pushing boundaries to ensure maximum efficiency and quality in its operations. -Commitment to performance and safety has earned a reputation for delivering projects that meet and exceed client expectations. -From healthcare campuses to advanced research labs, the company’s dedication to excellence ensures each project is tailored to the unique needs of the client and the community.

Sector Specialisms