Data Engineer & BI Analyst

ANDREAS STIHL AG & Co. KG is hiring a Data Engineer & BI Analyst to strengthen the infrastructure behind company reporting, advanced analytics, and data-driven decisions. This onsite role in Virginia Beach, VA focuses on designing and maintaining data pipelines, building Power BI semantic models, and resolving issues across ingestion, transformation, and reporting layers.

You will work closely with stakeholders to clarify data requirements, communicate technical details in practical terms, and support continuous improvements that enhance reliability, performance, and maintainability of the data platform.

Key Responsibilities

• Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory.
• Structure and manage Power BI semantic models using Tabular Editor and deployment pipelines.
• Diagnose and resolve data issues across multiple systems, including ADF, Databricks, and Power BI.
• Use strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues.
• Collaborate with stakeholders across business functions to clarify data needs and explain technical concepts.
• Contribute to ongoing improvements to the data infrastructure by identifying and implementing scalable solutions.

Required Qualifications

• 5+ years of experience in a data engineering, BI engineering, or similar technical role.
• Hands-on experience building pipelines with Databricks and/or Azure Data Factory.
• Python proficiency for data manipulation and transformation.
• Working knowledge of Power BI, including dataset design, relationships, and refresh behavior.
• Experience working in Git-based workflows.
• Proven ability to debug issues across ingestion, transformation, and reporting layers.
• Clear written and verbal communication skills, particularly when explaining technical topics to non-technical stakeholders.
• Strong collaboration skills, including sharing knowledge, coordinating effectively, and communicating blockers early.
• Ability to prioritize and problem-solve in ambiguous or high-pressure situations.
• Proactive approach to improving reliability, performance, and maintainability of existing systems.
• Experience in AI, machine learning, or emerging data technologies, especially where they intersect with analytics and reporting.
• Experience designing and developing AI solutions on common cloud industry platforms such as Microsoft Azure, Databricks, AWS, or Fabric.
• Knowledge of Power BI Premium capacity and refresh management.
• Exposure to metadata-driven frameworks and config-based pipeline logic.
• Familiarity with Unity Catalog, Terraform, or other emerging Databricks tools.
• Experience in automation, optimization, and reducing manual overhead in analytics systems.
• A Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field (preferred).

Technologies

• Databricks, Delta Live Tables, Azure Data Factory
• Power BI, Tabular Editor
• Python, Git
• Microsoft Azure, AWS, Fabric
• Power BI Premium
• Unity Catalog, Terraform

Compensation & Benefits

• Salary: USD $101,000 - $123,000 per year
• Bonus opportunities and potential for annual merit increases
• Excellent health benefits including Medical, Dental & Vision Insurance
• Onsite Health & Wellness Center for employees and eligible family members
• Company-paid Life Insurance and Short & Long-Term Disability
• Pension Plan: fully vested after 5 years
• 401(k) with generous employer match
• Paid time off in addition to 11 Paid Holidays