Data Analytics Engineer

Skanska USA•Atlanta, North Carolina

11d

About The Position

Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion. Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society. Skanska's values —Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life—are deeply engrained in how we work, which is why our values support and drive our D&I efforts. The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users. Fabric Analytics Engineer Associate (DP-600) and/or Microsoft Certified: Power BI Data Analyst Associate (PL-300). 1+ years of hands-on experience with Microsoft Fabric preferred.

Requirements

3+ years of experience with Power BI, including report building, DAX, and visualization best practices.
3+ years of experience in data modeling within data warehouses using modern design patterns.
1+ year of experience with Microsoft Fabric or Databricks.
Working knowledge of Lakehouse concepts, Delta tables, data pipelines, and orchestration is required.
3+ years of experience with Microsoft Azure, including key components such as Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse Analytics, and Azure SQL.
Bachelor’s degree in Computer Science, Data Engineering, or a related field, or 8 years of equivalent experience, including a minimum of 5 years of relevant experience.
Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company.

Nice To Haves

Fabric Analytics Engineer Associate (DP-600) and/or Microsoft Certified: Power BI Data Analyst Associate (PL-300).
1+ years of hands-on experience with Microsoft Fabric preferred.

Responsibilities

Designing, implementing, and supporting enterprise data initiatives and analyses.
Creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.
Collaborating with data analysts and engineers to develop visual representations of data patterns and insights.
Effectively communicating the significance of data patterns and insights to internal and external stakeholders, colleagues, and end-users.