Data Engineer [AQ-21007]

About the role

Aquent is partnering with a leading technology company that is transforming industries through innovative solutions and driving impact on a global scale. This organization is at the forefront of technological advancement, constantly pushing boundaries and setting new standards. As an Aquent talent, you will play a crucial role in shaping critical workforce strategies and optimizing data processes that directly influence the company’s operational efficiency and strategic decision-making. Your expertise will directly contribute to building robust data foundations and delivering actionable insights that empower teams and drive business success. Step into a pivotal role where your analytical prowess and technical expertise will make a tangible impact on critical workforce planning and data infrastructure. This is an exciting opportunity to leverage your skills in a dynamic environment, contributing to projects that shape the future of how this leading company manages its most valuable asset: its people. You will be instrumental in developing sophisticated models, building efficient data pipelines, and creating automated analytical solutions that drive strategic initiatives, directly influencing key business decisions and operational excellence.

Responsibilities

• Develop, maintain, and enhance staffing and workforce planning models to support strategic decision-making.
• Build and optimize data pipelines using Azure Data Factory (ADF) and other related Azure services.
• Develop analytical solutions and automation scripts primarily using SQL and Python.
• Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning to ensure optimal performance.
• Support critical data integrations, ETL processes, and comprehensive reporting solutions.
• Work with tabular data models, including SSAS cubes, to provide deep analytical insights.
• Ensure data quality, reliability, and scalability across all planning and reporting platforms.
• Partner closely with business stakeholders to translate complex workforce planning requirements into effective analytical solutions.

Requirements

• Advanced SQL development and database design expertise.
• Strong Python programming skills, specifically for data analysis, automation, and data engineering tasks.
• Extensive experience with Azure SQL Database administration, including performance tuning and troubleshooting.
• Proven ability in Azure Data Factory (ADF) pipeline development and maintenance.
• Experience building and maintaining analytical and forecasting models.
• Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling.
• A solid understanding of Azure data platform services and cloud-based data architectures.
• Exceptional analytical, troubleshooting, and communication skills.
• Bachelor’s degree in a technical field such as computer science, computer engineering, or a related discipline.
• 5+ years of applicable experience in data analysis and engineering.
• Related experience within the technology industry, demonstrating a deep understanding of its unique data challenges and opportunities.

Benefits

• Subsidized health, vision, and dental plans
• Paid sick leave
• Retirement plans with a match
• Free online training through Aquent Gymnasium
• Flexible work options and a supportive environment