Analytics Engineer, Data Management

Role Overview

Join our internal Data Management team as an Analytics Engineer, responsible for designing, implementing, and maintaining data marts, pipelines, and data processes. Work remotely from Romania.

What You Will Do

Design and implement scalable data marts and ETL/ELT processes using SQL or Python, transform raw data, collaborate with data analysts and business stakeholders, and build and orchestrate pipelines using Azure Data Factory and Databricks.

Why It Might Be a Fit

The ideal candidate has 3+ years of experience in analytics engineering, data engineering, or BI engineering, advanced SQL skills, and experience building data processes on a cloud platform.

Requirements

• 3+ years of experience in analytics engineering, data engineering, or BI engineering
• Advanced SQL, including window functions, CTEs, complex joins, and query performance tuning
• Python for data pipeline work (PySpark or pandas)
• Solid understanding of dimensional modeling and slowly changing dimensions (SCD Type 2)
• Experience building data processes on a cloud platform (Azure preferred; AWS or GCP considered)
• Experience running pipelines in production: scheduling, monitoring, and troubleshooting failures
• Experience delivering datasets for recurring business reporting where accuracy and deadlines matter
• Ability to explain technical trade-offs to non-technical stakeholders
• Fluent English both spoken/written
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience

Benefits

• 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private health, dental, and vision insurance for employees and dependents
• Monthly lifestyle and daily meal benefits
• Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
• Free access to Bookster library platform for borrowing your favorite books for free
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events