Bucharest, Romania
Actively hiring, first seen by us todayWe are seeking an Analytics Engineer to join our internal Data Management team.
Design, implement, and maintain scalable data marts and ETL/ELT processes using SQL or Python
Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and turn those requirements into well-defined data models
Build and orchestrate pipelines using Azure Data Factory and Databricks (Python notebooks and Spark SQL)
We are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an ability to understand and communicate technical solutions with business partners.
What You’ll Do Design, implement, and maintain scalable data marts and ETL/ELT processes using SQL or Python Transforming raw data from multiple sources into structured datasets for analysis and reporting
Transforming raw data from multiple sources into structured datasets for analysis and reporting Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and turn those requirements into well-defined data models Build and orchestrate pipelines using Azure Data Factory and Databricks (Python notebooks and Spark SQL)
Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and turn those requirements into well-defined data models Build and orchestrate pipelines using Azure Data Factory and Databricks (Python notebooks and Spark SQL) Deliver and maintain recurring reporting datasets, including but not limited to Finance and Sales, such as quarterly business reviews and sales compensation
- Fluent English both spoken/written - Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience What You’ll Get
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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What You’ll Do - Design, implement, and maintain scalable data marts and ETL/ELT processes using SQL or Python - Transforming raw data from multiple sources into structured datasets for analysis and reporting
- Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and turn those requirements into well-defined data models - Build and orchestrate pipelines using Azure Data Factory and Databricks (Python notebooks and Spark SQL) - Deliver and maintain recurring reporting datasets, including but not limited to Finance and Sales, such as quarterly business reviews and sales compensation
- 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)
- 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, not just building them
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
We are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an ability to understand and communicate technical solutions with business partners.
Work model: full-remote from Romania
Please note: If an applicant is permanently located outside of the Romania, Veeam reserves the right to decline the application for this position.
#LI-REMOTE
#LI-JS4
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
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Bucharest, Romania
We are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an ability to understand and communicate technical solutions with business partners. Work model: full-remote from Romania What You’ll Do
Please note: If an applicant is permanently located outside of the Romania, Veeam reserves the right to decline the application for this position. #LI-REMOTE #LI-JS4
#LI-JS4 Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.